{smcl}
{txt}{sf}{ul off}{.-}
      name:  {res}Wang2019BJPS
       {txt}log:  {res}/Users/ywang/Documents/My Documents/Research/working papers/cultural revolution and trust/journal submission/bjps/4/replication/Wang 2019 BJPS results.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}30 Apr 2019, 08:47:14
{txt}
{com}. 
. ********************************************************************************
. **  Replication for
. **
. **  The Political Legacy of Violence during China's Cultural Revolution
. **  British Journal of Political Science
. **  Yuhua Wang (yuhuawang@fas.harvard.edu)
. **
. **  Original Do-File Created on 3/30/2016
. **  This Version Created on 4/29/2019
. **
. **  Stata 14.2
. ********************************************************************************
. 
. clear
{txt}
{com}. estimates clear 
{txt}
{com}. 
{txt}end of do-file

{com}. set more off

. do "/var/folders/h7/yy_9_pys1zvgh1bl431b90_m0000gn/T//SD21778.000000"
{txt}
{com}. 
. cd "~/Documents/My Documents/Research/working papers/cultural revolution and trust/journal submission/bjps/4/replication/"
{res}/Users/ywang/Documents/My Documents/Research/working papers/cultural revolution and trust/journal submission/bjps/4/replication
{txt}
{com}. 
. 
. * install if you have not yet
. * ssc install coefplot, interflex
. 
. ********************************************************************************
. *Tables and Figures in the Main Text of the Paper*
. ********************************************************************************
. 
. **********************
. *Figure 1: Map in QGIS*
. **********************
. 
{txt}end of do-file

{com}. do "/var/folders/h7/yy_9_pys1zvgh1bl431b90_m0000gn/T//SD21778.000000"
{txt}
{com}. 
. **********************
. *Figure 2*
. **********************
. 
. use "prefectualdata.dta",clear
{txt}
{com}. 
. local controls "sexratio_1964_pre urbanpopratio_1964_pre qingrebellion popdensity1964 lnpergdp shouzai extrap pmd longitude latitude resource colony suit_m distancetobeijing riverlength log_accountlength"
{txt}
{com}. local province_fe "i.pro_n"
{txt}
{com}. 
. center CRdeath_pop_prefecture `controls', inplace standardize
{txt}(modified variables: CRdeath_pop_prefecture sexratio_1964_pre urbanpopratio_1964_pre qingrebellion popdensity1964 lnpergdp shouzai extrap pmd longitude latitude resource colony suit_m distancetobeijing riverlength log_accountlength)

{com}. 
. xi: reg CRdeath_pop_prefecture `controls' `province_fe',cl(city_id)
{txt}i.pro_n{col 19}_Ipro_n_1-31{col 39}(naturally coded; _Ipro_n_1 omitted)
note: _Ipro_n_2 omitted because of collinearity
note: _Ipro_n_3 omitted because of collinearity
note: _Ipro_n_4 omitted because of collinearity
note: _Ipro_n_6 omitted because of collinearity
note: _Ipro_n_9 omitted because of collinearity
note: _Ipro_n_10 omitted because of collinearity
note: _Ipro_n_15 omitted because of collinearity
note: _Ipro_n_16 omitted because of collinearity
note: _Ipro_n_21 omitted because of collinearity
note: _Ipro_n_24 omitted because of collinearity
note: _Ipro_n_26 omitted because of collinearity
note: _Ipro_n_29 omitted because of collinearity
note: _Ipro_n_30 omitted because of collinearity
note: _Ipro_n_31 omitted because of collinearity

Linear regression                               Number of obs     = {res}       224
                                                {txt}{help j_robustsingular:F(30, 223) }       =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.4544
                                                {txt}Root MSE          =    {res}  .8772

{txt}{ralign 88:(Std. Err. adjusted for {res:224} clusters in city_id)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}CRdeath_pop_prefecture{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}sexratio_1964_pre {c |}{col 24}{res}{space 2} .1592418{col 36}{space 2} .1311181{col 47}{space 1}    1.21{col 56}{space 3}0.226{col 64}{space 4}-.0991472{col 77}{space 3} .4176308
{txt}urbanpopratio_1964_pre {c |}{col 24}{res}{space 2}-.1278226{col 36}{space 2} .0879713{col 47}{space 1}   -1.45{col 56}{space 3}0.148{col 64}{space 4} -.301184{col 77}{space 3} .0455388
{txt}{space 9}qingrebellion {c |}{col 24}{res}{space 2}-.0507017{col 36}{space 2} .0439574{col 47}{space 1}   -1.15{col 56}{space 3}0.250{col 64}{space 4}-.1373268{col 77}{space 3} .0359235
{txt}{space 8}popdensity1964 {c |}{col 24}{res}{space 2}-.0616234{col 36}{space 2} .0529875{col 47}{space 1}   -1.16{col 56}{space 3}0.246{col 64}{space 4}-.1660437{col 77}{space 3} .0427969
{txt}{space 14}lnpergdp {c |}{col 24}{res}{space 2} .3020543{col 36}{space 2} .2279815{col 47}{space 1}    1.32{col 56}{space 3}0.187{col 64}{space 4}-.1472195{col 77}{space 3} .7513282
{txt}{space 15}shouzai {c |}{col 24}{res}{space 2} .3390446{col 36}{space 2} .2863952{col 47}{space 1}    1.18{col 56}{space 3}0.238{col 64}{space 4}-.2253426{col 77}{space 3} .9034319
{txt}{space 16}extrap {c |}{col 24}{res}{space 2} .1257971{col 36}{space 2} .1212179{col 47}{space 1}    1.04{col 56}{space 3}0.300{col 64}{space 4}-.1130822{col 77}{space 3} .3646763
{txt}{space 19}pmd {c |}{col 24}{res}{space 2}-.0146742{col 36}{space 2}  .066683{col 47}{space 1}   -0.22{col 56}{space 3}0.826{col 64}{space 4}-.1460836{col 77}{space 3} .1167352
{txt}{space 13}longitude {c |}{col 24}{res}{space 2}-.0011118{col 36}{space 2} .1569847{col 47}{space 1}   -0.01{col 56}{space 3}0.994{col 64}{space 4}-.3104751{col 77}{space 3} .3082515
{txt}{space 14}latitude {c |}{col 24}{res}{space 2}-.1505078{col 36}{space 2} .2416834{col 47}{space 1}   -0.62{col 56}{space 3}0.534{col 64}{space 4}-.6267833{col 77}{space 3} .3257677
{txt}{space 14}resource {c |}{col 24}{res}{space 2}-.0813982{col 36}{space 2} .0935726{col 47}{space 1}   -0.87{col 56}{space 3}0.385{col 64}{space 4}-.2657979{col 77}{space 3} .1030015
{txt}{space 16}colony {c |}{col 24}{res}{space 2} .0113664{col 36}{space 2} .0266896{col 47}{space 1}    0.43{col 56}{space 3}0.671{col 64}{space 4}-.0412298{col 77}{space 3} .0639626
{txt}{space 16}suit_m {c |}{col 24}{res}{space 2}-.0309561{col 36}{space 2} .0744263{col 47}{space 1}   -0.42{col 56}{space 3}0.678{col 64}{space 4} -.177625{col 77}{space 3} .1157128
{txt}{space 5}distancetobeijing {c |}{col 24}{res}{space 2} .3692182{col 36}{space 2} .3336636{col 47}{space 1}    1.11{col 56}{space 3}0.270{col 64}{space 4} -.288319{col 77}{space 3} 1.026755
{txt}{space 11}riverlength {c |}{col 24}{res}{space 2}-.0080253{col 36}{space 2} .0521598{col 47}{space 1}   -0.15{col 56}{space 3}0.878{col 64}{space 4}-.1108144{col 77}{space 3} .0947638
{txt}{space 5}log_accountlength {c |}{col 24}{res}{space 2} .1320231{col 36}{space 2} .0859503{col 47}{space 1}    1.54{col 56}{space 3}0.126{col 64}{space 4}-.0373556{col 77}{space 3} .3014019
{txt}{space 13}_Ipro_n_2 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Ipro_n_3 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Ipro_n_4 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Ipro_n_5 {c |}{col 24}{res}{space 2} .7887866{col 36}{space 2} .4158187{col 47}{space 1}    1.90{col 56}{space 3}0.059{col 64}{space 4}-.0306502{col 77}{space 3} 1.608223
{txt}{space 13}_Ipro_n_6 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Ipro_n_7 {c |}{col 24}{res}{space 2} .0005556{col 36}{space 2}  .194865{col 47}{space 1}    0.00{col 56}{space 3}0.998{col 64}{space 4}-.3834568{col 77}{space 3}  .384568
{txt}{space 13}_Ipro_n_8 {c |}{col 24}{res}{space 2}-.1283835{col 36}{space 2} .4896859{col 47}{space 1}   -0.26{col 56}{space 3}0.793{col 64}{space 4}-1.093387{col 77}{space 3} .8366205
{txt}{space 13}_Ipro_n_9 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 12}_Ipro_n_10 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 12}_Ipro_n_11 {c |}{col 24}{res}{space 2}-.3707306{col 36}{space 2} .6156918{col 47}{space 1}   -0.60{col 56}{space 3}0.548{col 64}{space 4}-1.584049{col 77}{space 3} .8425879
{txt}{space 12}_Ipro_n_12 {c |}{col 24}{res}{space 2}-.0883825{col 36}{space 2}  .296724{col 47}{space 1}   -0.30{col 56}{space 3}0.766{col 64}{space 4}-.6731242{col 77}{space 3} .4963593
{txt}{space 12}_Ipro_n_13 {c |}{col 24}{res}{space 2}-.1861514{col 36}{space 2}  .424016{col 47}{space 1}   -0.44{col 56}{space 3}0.661{col 64}{space 4}-1.021742{col 77}{space 3} .6494396
{txt}{space 12}_Ipro_n_14 {c |}{col 24}{res}{space 2}-.0885308{col 36}{space 2} .2663494{col 47}{space 1}   -0.33{col 56}{space 3}0.740{col 64}{space 4}-.6134146{col 77}{space 3}  .436353
{txt}{space 12}_Ipro_n_15 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 12}_Ipro_n_16 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 12}_Ipro_n_17 {c |}{col 24}{res}{space 2}-.1962438{col 36}{space 2} .2739203{col 47}{space 1}   -0.72{col 56}{space 3}0.474{col 64}{space 4}-.7360473{col 77}{space 3} .3435598
{txt}{space 12}_Ipro_n_18 {c |}{col 24}{res}{space 2}-.0776914{col 36}{space 2} .2900959{col 47}{space 1}   -0.27{col 56}{space 3}0.789{col 64}{space 4}-.6493714{col 77}{space 3} .4939886
{txt}{space 12}_Ipro_n_19 {c |}{col 24}{res}{space 2}   -.7445{col 36}{space 2} 1.047984{col 47}{space 1}   -0.71{col 56}{space 3}0.478{col 64}{space 4} -2.80972{col 77}{space 3}  1.32072
{txt}{space 12}_Ipro_n_20 {c |}{col 24}{res}{space 2}  2.75405{col 36}{space 2} .6641457{col 47}{space 1}    4.15{col 56}{space 3}0.000{col 64}{space 4} 1.445246{col 77}{space 3} 4.062855
{txt}{space 12}_Ipro_n_21 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 12}_Ipro_n_23 {c |}{col 24}{res}{space 2} .2836315{col 36}{space 2} .2023833{col 47}{space 1}    1.40{col 56}{space 3}0.162{col 64}{space 4} -.115197{col 77}{space 3}   .68246
{txt}{space 12}_Ipro_n_24 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 12}_Ipro_n_25 {c |}{col 24}{res}{space 2}-.1043617{col 36}{space 2} .4422601{col 47}{space 1}   -0.24{col 56}{space 3}0.814{col 64}{space 4}-.9759056{col 77}{space 3} .7671822
{txt}{space 12}_Ipro_n_26 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 12}_Ipro_n_27 {c |}{col 24}{res}{space 2} .0328363{col 36}{space 2} .1795984{col 47}{space 1}    0.18{col 56}{space 3}0.855{col 64}{space 4}-.3210908{col 77}{space 3} .3867635
{txt}{space 12}_Ipro_n_28 {c |}{col 24}{res}{space 2} .2305815{col 36}{space 2} .2840638{col 47}{space 1}    0.81{col 56}{space 3}0.418{col 64}{space 4}-.3292114{col 77}{space 3} .7903743
{txt}{space 12}_Ipro_n_29 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 12}_Ipro_n_30 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 12}_Ipro_n_31 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 17}_cons {c |}{col 24}{res}{space 2}-.0910517{col 36}{space 2} .1817894{col 47}{space 1}   -0.50{col 56}{space 3}0.617{col 64}{space 4}-.4492966{col 77}{space 3} .2671933
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. 
. coefplot, drop(_Ipro_n_* _cons) xline(0) xtitle(Standardized Coefficients) mfcolor(black) levels(99 95) ///
> rename(sexratio_1964_pre="Male-to-Female Ratio" urbanpopratio_1964_pre="Urban Population Percentage" ///
> qingrebellion="Frequency of Mass Rebellions" popdensity1964="Population Density" lnpergdp="Per Capita GDP" ///
> shouzai="Natural Disasters" extrap="Excess Procurement Ratio" pmd="Party Membership Density" ///
> longitude="Longitude" latitude="Latitude" resource="Natural Resource" colony="Colony" ///
> suit_m="Suitability for Wetland Rice" distancetobeijing="Distance to Beijing" ///
> riverlength="Length of Rivers" log_accountlength="Account Length")
{res}{txt}
{com}. 
. graph export figure2.pdf, as(pdf) replace
{txt}(file /Users/ywang/Documents/My Documents/Research/working papers/cultural revolution and trust/journal submission/bjps/4/replication/figure2.pdf written in PDF format)

{com}. 
. clear
{txt}
{com}. 
{txt}end of do-file

{com}. do "/var/folders/h7/yy_9_pys1zvgh1bl431b90_m0000gn/T//SD21778.000000"
{txt}
{com}. 
. **********************
. *Table 2*
. **********************
. 
. use "chinasurvey.dta",clear
{txt}
{com}. 
. local individual_controls "male age agesquare han goodclass midclass"
{txt}
{com}. local prefectural_controls "sexratio_1964_pre urbanpopratio_1964_pre qingrebellion popdensity1964 lnpergdp shouzai extrap pmd longitude latitude resource colony suit_m distancetobeijing riverlength"
{txt}
{com}. local minimum_controls "log_accountlength i.prov"
{txt}
{com}. 
. xi:reg trustcentralhead CRdeath_pop_prefecture `minimum_controls' if local==1,cl(city_id)
{txt}i.prov{col 19}_Iprov_13-65{col 39}(naturally coded; _Iprov_13 omitted)

Linear regression                               Number of obs     = {res}     1,895
                                                {txt}{help j_robustsingular:F(21, 56) }        =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.0879
                                                {txt}Root MSE          =    {res} .75535

{txt}{ralign 88:(Std. Err. adjusted for {res:57} clusters in city_id)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}      trustcentralhead{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
CRdeath_pop_prefecture {c |}{col 24}{res}{space 2}-.0925112{col 36}{space 2} .0326291{col 47}{space 1}   -2.84{col 56}{space 3}0.006{col 64}{space 4}-.1578752{col 77}{space 3}-.0271472
{txt}{space 5}log_accountlength {c |}{col 24}{res}{space 2}-.0782685{col 36}{space 2} .0927837{col 47}{space 1}   -0.84{col 56}{space 3}0.403{col 64}{space 4}-.2641366{col 77}{space 3} .1075996
{txt}{space 13}_Iprov_15 {c |}{col 24}{res}{space 2} .1362201{col 36}{space 2} .1019024{col 47}{space 1}    1.34{col 56}{space 3}0.187{col 64}{space 4}-.0679149{col 77}{space 3} .3403551
{txt}{space 13}_Iprov_21 {c |}{col 24}{res}{space 2}-.4716756{col 36}{space 2} .1528263{col 47}{space 1}   -3.09{col 56}{space 3}0.003{col 64}{space 4}-.7778236{col 77}{space 3}-.1655277
{txt}{space 13}_Iprov_22 {c |}{col 24}{res}{space 2} .2831275{col 36}{space 2} .0345041{col 47}{space 1}    8.21{col 56}{space 3}0.000{col 64}{space 4} .2140074{col 77}{space 3} .3522476
{txt}{space 13}_Iprov_23 {c |}{col 24}{res}{space 2} .0241498{col 36}{space 2} .0778519{col 47}{space 1}    0.31{col 56}{space 3}0.758{col 64}{space 4}-.1318062{col 77}{space 3} .1801058
{txt}{space 13}_Iprov_31 {c |}{col 24}{res}{space 2}-.4913828{col 36}{space 2} .0312582{col 47}{space 1}  -15.72{col 56}{space 3}0.000{col 64}{space 4}-.5540005{col 77}{space 3}-.4287651
{txt}{space 13}_Iprov_32 {c |}{col 24}{res}{space 2} -.370831{col 36}{space 2} .1222834{col 47}{space 1}   -3.03{col 56}{space 3}0.004{col 64}{space 4}-.6157941{col 77}{space 3}-.1258678
{txt}{space 13}_Iprov_33 {c |}{col 24}{res}{space 2}-.4962226{col 36}{space 2} .1102293{col 47}{space 1}   -4.50{col 56}{space 3}0.000{col 64}{space 4}-.7170385{col 77}{space 3}-.2754068
{txt}{space 13}_Iprov_34 {c |}{col 24}{res}{space 2} .2339934{col 36}{space 2}  .089095{col 47}{space 1}    2.63{col 56}{space 3}0.011{col 64}{space 4} .0555147{col 77}{space 3}  .412472
{txt}{space 13}_Iprov_35 {c |}{col 24}{res}{space 2}-.5805681{col 36}{space 2} .1756668{col 47}{space 1}   -3.30{col 56}{space 3}0.002{col 64}{space 4} -.932471{col 77}{space 3}-.2286653
{txt}{space 13}_Iprov_36 {c |}{col 24}{res}{space 2}-.1940853{col 36}{space 2}  .275106{col 47}{space 1}   -0.71{col 56}{space 3}0.483{col 64}{space 4}-.7451887{col 77}{space 3} .3570182
{txt}{space 13}_Iprov_37 {c |}{col 24}{res}{space 2}-.1036513{col 36}{space 2} .0849512{col 47}{space 1}   -1.22{col 56}{space 3}0.228{col 64}{space 4} -.273829{col 77}{space 3} .0665264
{txt}{space 13}_Iprov_41 {c |}{col 24}{res}{space 2}-.0136458{col 36}{space 2} .0710981{col 47}{space 1}   -0.19{col 56}{space 3}0.848{col 64}{space 4}-.1560724{col 77}{space 3} .1287809
{txt}{space 13}_Iprov_42 {c |}{col 24}{res}{space 2} .0932523{col 36}{space 2} .1586405{col 47}{space 1}    0.59{col 56}{space 3}0.559{col 64}{space 4}-.2245427{col 77}{space 3} .4110473
{txt}{space 13}_Iprov_43 {c |}{col 24}{res}{space 2}-.0251398{col 36}{space 2} .0515133{col 47}{space 1}   -0.49{col 56}{space 3}0.627{col 64}{space 4}-.1283334{col 77}{space 3} .0780538
{txt}{space 13}_Iprov_44 {c |}{col 24}{res}{space 2}-.0759009{col 36}{space 2} .1982764{col 47}{space 1}   -0.38{col 56}{space 3}0.703{col 64}{space 4}-.4730963{col 77}{space 3} .3212944
{txt}{space 13}_Iprov_45 {c |}{col 24}{res}{space 2} -.181163{col 36}{space 2} .1215978{col 47}{space 1}   -1.49{col 56}{space 3}0.142{col 64}{space 4}-.4247527{col 77}{space 3} .0624267
{txt}{space 13}_Iprov_50 {c |}{col 24}{res}{space 2}-.3534321{col 36}{space 2} .0318711{col 47}{space 1}  -11.09{col 56}{space 3}0.000{col 64}{space 4}-.4172775{col 77}{space 3}-.2895868
{txt}{space 13}_Iprov_51 {c |}{col 24}{res}{space 2} .1416518{col 36}{space 2} .0438759{col 47}{space 1}    3.23{col 56}{space 3}0.002{col 64}{space 4} .0537577{col 77}{space 3} .2295458
{txt}{space 13}_Iprov_52 {c |}{col 24}{res}{space 2} .2303592{col 36}{space 2} .0292831{col 47}{space 1}    7.87{col 56}{space 3}0.000{col 64}{space 4} .1716982{col 77}{space 3} .2890203
{txt}{space 13}_Iprov_53 {c |}{col 24}{res}{space 2}-.0312539{col 36}{space 2} .0541067{col 47}{space 1}   -0.58{col 56}{space 3}0.566{col 64}{space 4}-.1396427{col 77}{space 3} .0771348
{txt}{space 13}_Iprov_61 {c |}{col 24}{res}{space 2}-.0691335{col 36}{space 2} .0862065{col 47}{space 1}   -0.80{col 56}{space 3}0.426{col 64}{space 4}-.2418259{col 77}{space 3} .1035589
{txt}{space 13}_Iprov_62 {c |}{col 24}{res}{space 2}-.0626127{col 36}{space 2} .0455452{col 47}{space 1}   -1.37{col 56}{space 3}0.175{col 64}{space 4}-.1538507{col 77}{space 3} .0286252
{txt}{space 13}_Iprov_64 {c |}{col 24}{res}{space 2} .1369809{col 36}{space 2} .0442877{col 47}{space 1}    3.09{col 56}{space 3}0.003{col 64}{space 4}  .048262{col 77}{space 3} .2256998
{txt}{space 13}_Iprov_65 {c |}{col 24}{res}{space 2} .2958568{col 36}{space 2} .0640533{col 47}{space 1}    4.62{col 56}{space 3}0.000{col 64}{space 4} .1675426{col 77}{space 3}  .424171
{txt}{space 17}_cons {c |}{col 24}{res}{space 2} 4.072083{col 36}{space 2} .7927066{col 47}{space 1}    5.14{col 56}{space 3}0.000{col 64}{space 4} 2.484101{col 77}{space 3} 5.660065
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. estimates store table2_1
{txt}
{com}. estadd ysumm

{txt}added scalars:
                e(ysd) =  {res}.78547588
               {txt}e(ymax) =  {res}4
               {txt}e(ymin) =  {res}1
              {txt}e(ymean) =  {res}3.3356201
{txt}
{com}. 
. xi:reg trustcentralhead CRdeath_pop_prefecture `individual_controls' `prefectural_controls' `minimum_controls' if local==1,cl(city_id)
{txt}i.prov{col 19}_Iprov_13-65{col 39}(naturally coded; _Iprov_13 omitted)
note: _Iprov_22 omitted because of collinearity
note: _Iprov_31 omitted because of collinearity
note: _Iprov_32 omitted because of collinearity
note: _Iprov_37 omitted because of collinearity
note: _Iprov_41 omitted because of collinearity
note: _Iprov_45 omitted because of collinearity
note: _Iprov_50 omitted because of collinearity
note: _Iprov_51 omitted because of collinearity
note: _Iprov_52 omitted because of collinearity
note: _Iprov_64 omitted because of collinearity
note: _Iprov_65 omitted because of collinearity

Linear regression                               Number of obs     = {res}     1,296
                                                {txt}{help j_robustsingular:F(35, 42) }        =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.1214
                                                {txt}Root MSE          =    {res} .75318

{txt}{ralign 88:(Std. Err. adjusted for {res:43} clusters in city_id)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}      trustcentralhead{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
CRdeath_pop_prefecture {c |}{col 24}{res}{space 2}-.2593761{col 36}{space 2} .0374065{col 47}{space 1}   -6.93{col 56}{space 3}0.000{col 64}{space 4}-.3348655{col 77}{space 3}-.1838867
{txt}{space 18}male {c |}{col 24}{res}{space 2}-.0392473{col 36}{space 2}  .046408{col 47}{space 1}   -0.85{col 56}{space 3}0.403{col 64}{space 4}-.1329025{col 77}{space 3}  .054408
{txt}{space 19}age {c |}{col 24}{res}{space 2} .0034458{col 36}{space 2} .0081161{col 47}{space 1}    0.42{col 56}{space 3}0.673{col 64}{space 4}-.0129332{col 77}{space 3} .0198248
{txt}{space 13}agesquare {c |}{col 24}{res}{space 2} .0000217{col 36}{space 2} .0000764{col 47}{space 1}    0.28{col 56}{space 3}0.777{col 64}{space 4}-.0001324{col 77}{space 3} .0001759
{txt}{space 19}han {c |}{col 24}{res}{space 2} .0000906{col 36}{space 2} .0808429{col 47}{space 1}    0.00{col 56}{space 3}0.999{col 64}{space 4}-.1630569{col 77}{space 3} .1632382
{txt}{space 13}goodclass {c |}{col 24}{res}{space 2} .0367017{col 36}{space 2} .0844964{col 47}{space 1}    0.43{col 56}{space 3}0.666{col 64}{space 4}-.1338189{col 77}{space 3} .2072224
{txt}{space 14}midclass {c |}{col 24}{res}{space 2}  .062429{col 36}{space 2}  .095254{col 47}{space 1}    0.66{col 56}{space 3}0.516{col 64}{space 4}-.1298014{col 77}{space 3} .2546594
{txt}{space 5}sexratio_1964_pre {c |}{col 24}{res}{space 2}-2.751077{col 36}{space 2} .6095444{col 47}{space 1}   -4.51{col 56}{space 3}0.000{col 64}{space 4}-3.981188{col 77}{space 3}-1.520967
{txt}urbanpopratio_1964_pre {c |}{col 24}{res}{space 2} .0601472{col 36}{space 2} .0099203{col 47}{space 1}    6.06{col 56}{space 3}0.000{col 64}{space 4} .0401273{col 77}{space 3} .0801672
{txt}{space 4}qingrebellioncount {c |}{col 24}{res}{space 2} .0376302{col 36}{space 2} .0117546{col 47}{space 1}    3.20{col 56}{space 3}0.003{col 64}{space 4} .0139085{col 77}{space 3} .0613519
{txt}{space 8}popdensity1964 {c |}{col 24}{res}{space 2} .0008248{col 36}{space 2} .0003016{col 47}{space 1}    2.74{col 56}{space 3}0.009{col 64}{space 4} .0002163{col 77}{space 3} .0014334
{txt}{space 14}lnpergdp {c |}{col 24}{res}{space 2}-1.192868{col 36}{space 2} .3856682{col 47}{space 1}   -3.09{col 56}{space 3}0.004{col 64}{space 4}-1.971178{col 77}{space 3}-.4145578
{txt}{space 15}shouzai {c |}{col 24}{res}{space 2}-.1299033{col 36}{space 2} .0401566{col 47}{space 1}   -3.23{col 56}{space 3}0.002{col 64}{space 4}-.2109425{col 77}{space 3} -.048864
{txt}{space 16}extrap {c |}{col 24}{res}{space 2} .3116996{col 36}{space 2}  .074137{col 47}{space 1}    4.20{col 56}{space 3}0.000{col 64}{space 4} .1620851{col 77}{space 3}  .461314
{txt}{space 19}pmd {c |}{col 24}{res}{space 2} .0421389{col 36}{space 2} .0091777{col 47}{space 1}    4.59{col 56}{space 3}0.000{col 64}{space 4} .0236176{col 77}{space 3} .0606603
{txt}{space 13}longitude {c |}{col 24}{res}{space 2}-.1013782{col 36}{space 2}  .021524{col 47}{space 1}   -4.71{col 56}{space 3}0.000{col 64}{space 4}-.1448155{col 77}{space 3}-.0579409
{txt}{space 14}latitude {c |}{col 24}{res}{space 2} .0038814{col 36}{space 2} .0358304{col 47}{space 1}    0.11{col 56}{space 3}0.914{col 64}{space 4}-.0684273{col 77}{space 3} .0761901
{txt}{space 14}resource {c |}{col 24}{res}{space 2} .1226879{col 36}{space 2} .0705783{col 47}{space 1}    1.74{col 56}{space 3}0.089{col 64}{space 4}-.0197448{col 77}{space 3} .2651206
{txt}{space 16}colony {c |}{col 24}{res}{space 2} -.503437{col 36}{space 2} .1282844{col 47}{space 1}   -3.92{col 56}{space 3}0.000{col 64}{space 4}-.7623253{col 77}{space 3}-.2445486
{txt}{space 16}suit_m {c |}{col 24}{res}{space 2}  .220452{col 36}{space 2} .0868276{col 47}{space 1}    2.54{col 56}{space 3}0.015{col 64}{space 4} .0452269{col 77}{space 3} .3956771
{txt}{space 5}distancetobeijing {c |}{col 24}{res}{space 2}-.0010423{col 36}{space 2} .0004206{col 47}{space 1}   -2.48{col 56}{space 3}0.017{col 64}{space 4}-.0018911{col 77}{space 3}-.0001935
{txt}{space 11}riverlength {c |}{col 24}{res}{space 2} .0034297{col 36}{space 2} .0005758{col 47}{space 1}    5.96{col 56}{space 3}0.000{col 64}{space 4} .0022677{col 77}{space 3} .0045918
{txt}{space 5}log_accountlength {c |}{col 24}{res}{space 2} .0871002{col 36}{space 2} .0551155{col 47}{space 1}    1.58{col 56}{space 3}0.122{col 64}{space 4}-.0241274{col 77}{space 3} .1983278
{txt}{space 13}_Iprov_15 {c |}{col 24}{res}{space 2} 2.427303{col 36}{space 2} .4278558{col 47}{space 1}    5.67{col 56}{space 3}0.000{col 64}{space 4} 1.563855{col 77}{space 3} 3.290751
{txt}{space 13}_Iprov_21 {c |}{col 24}{res}{space 2} -.233702{col 36}{space 2} .2771542{col 47}{space 1}   -0.84{col 56}{space 3}0.404{col 64}{space 4}-.7930218{col 77}{space 3} .3256177
{txt}{space 13}_Iprov_22 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_23 {c |}{col 24}{res}{space 2}  1.86499{col 36}{space 2} .4790384{col 47}{space 1}    3.89{col 56}{space 3}0.000{col 64}{space 4} .8982513{col 77}{space 3} 2.831729
{txt}{space 13}_Iprov_31 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_32 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_33 {c |}{col 24}{res}{space 2} 1.839371{col 36}{space 2}  .515033{col 47}{space 1}    3.57{col 56}{space 3}0.001{col 64}{space 4} .7999923{col 77}{space 3}  2.87875
{txt}{space 13}_Iprov_34 {c |}{col 24}{res}{space 2} 1.743091{col 36}{space 2} .3313365{col 47}{space 1}    5.26{col 56}{space 3}0.000{col 64}{space 4} 1.074427{col 77}{space 3} 2.411756
{txt}{space 13}_Iprov_35 {c |}{col 24}{res}{space 2}  .299034{col 36}{space 2} .3481994{col 47}{space 1}    0.86{col 56}{space 3}0.395{col 64}{space 4}-.4036607{col 77}{space 3} 1.001729
{txt}{space 13}_Iprov_36 {c |}{col 24}{res}{space 2}-.5450766{col 36}{space 2} .3225706{col 47}{space 1}   -1.69{col 56}{space 3}0.098{col 64}{space 4} -1.19605{col 77}{space 3} .1058972
{txt}{space 13}_Iprov_37 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_41 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_42 {c |}{col 24}{res}{space 2} 1.146877{col 36}{space 2} .2701509{col 47}{space 1}    4.25{col 56}{space 3}0.000{col 64}{space 4} .6016904{col 77}{space 3} 1.692064
{txt}{space 13}_Iprov_43 {c |}{col 24}{res}{space 2} .0115423{col 36}{space 2} .1782035{col 47}{space 1}    0.06{col 56}{space 3}0.949{col 64}{space 4} -.348087{col 77}{space 3} .3711716
{txt}{space 13}_Iprov_44 {c |}{col 24}{res}{space 2} 1.301105{col 36}{space 2} .4900444{col 47}{space 1}    2.66{col 56}{space 3}0.011{col 64}{space 4} .3121555{col 77}{space 3} 2.290055
{txt}{space 13}_Iprov_45 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_50 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_51 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_52 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_53 {c |}{col 24}{res}{space 2}-.4265556{col 36}{space 2} .1902366{col 47}{space 1}   -2.24{col 56}{space 3}0.030{col 64}{space 4}-.8104686{col 77}{space 3}-.0426425
{txt}{space 13}_Iprov_61 {c |}{col 24}{res}{space 2} .0377779{col 36}{space 2} .0805345{col 47}{space 1}    0.47{col 56}{space 3}0.641{col 64}{space 4}-.1247472{col 77}{space 3}  .200303
{txt}{space 13}_Iprov_62 {c |}{col 24}{res}{space 2}-1.180124{col 36}{space 2} .3363239{col 47}{space 1}   -3.51{col 56}{space 3}0.001{col 64}{space 4}-1.858853{col 77}{space 3}-.5013946
{txt}{space 13}_Iprov_64 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_65 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 17}_cons {c |}{col 24}{res}{space 2} 21.20007{col 36}{space 2}  4.60815{col 47}{space 1}    4.60{col 56}{space 3}0.000{col 64}{space 4} 11.90045{col 77}{space 3}  30.4997
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. estimates store table2_2
{txt}
{com}. estadd ysumm

{txt}added scalars:
                e(ysd) =  {res}.79230737
               {txt}e(ymax) =  {res}4
               {txt}e(ymin) =  {res}1
              {txt}e(ymean) =  {res}3.3263889
{txt}
{com}. 
. xi:reg lackingdemocracy CRdeath_pop_prefecture `minimum_controls'  if local==1,cl(city_id)
{txt}i.prov{col 19}_Iprov_13-65{col 39}(naturally coded; _Iprov_13 omitted)

Linear regression                               Number of obs     = {res}     1,724
                                                {txt}{help j_robustsingular:F(21, 56) }        =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.0628
                                                {txt}Root MSE          =    {res} 2.6643

{txt}{ralign 88:(Std. Err. adjusted for {res:57} clusters in city_id)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}      lackingdemocracy{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
CRdeath_pop_prefecture {c |}{col 24}{res}{space 2} .2709942{col 36}{space 2} .1384774{col 47}{space 1}    1.96{col 56}{space 3}0.055{col 64}{space 4}-.0064094{col 77}{space 3} .5483977
{txt}{space 5}log_accountlength {c |}{col 24}{res}{space 2} .4169766{col 36}{space 2} .4597872{col 47}{space 1}    0.91{col 56}{space 3}0.368{col 64}{space 4}-.5040879{col 77}{space 3} 1.338041
{txt}{space 13}_Iprov_15 {c |}{col 24}{res}{space 2} .5985229{col 36}{space 2} .4742216{col 47}{space 1}    1.26{col 56}{space 3}0.212{col 64}{space 4}-.3514572{col 77}{space 3} 1.548503
{txt}{space 13}_Iprov_21 {c |}{col 24}{res}{space 2} 1.590056{col 36}{space 2} .2681767{col 47}{space 1}    5.93{col 56}{space 3}0.000{col 64}{space 4} 1.052833{col 77}{space 3} 2.127278
{txt}{space 13}_Iprov_22 {c |}{col 24}{res}{space 2} 1.541519{col 36}{space 2} .1801944{col 47}{space 1}    8.55{col 56}{space 3}0.000{col 64}{space 4} 1.180547{col 77}{space 3} 1.902492
{txt}{space 13}_Iprov_23 {c |}{col 24}{res}{space 2} 1.407618{col 36}{space 2} .4091215{col 47}{space 1}    3.44{col 56}{space 3}0.001{col 64}{space 4}  .588049{col 77}{space 3} 2.227187
{txt}{space 13}_Iprov_31 {c |}{col 24}{res}{space 2} 2.405296{col 36}{space 2} .1357531{col 47}{space 1}   17.72{col 56}{space 3}0.000{col 64}{space 4} 2.133349{col 77}{space 3} 2.677242
{txt}{space 13}_Iprov_32 {c |}{col 24}{res}{space 2} 1.099217{col 36}{space 2} .3032602{col 47}{space 1}    3.62{col 56}{space 3}0.001{col 64}{space 4} .4917134{col 77}{space 3}  1.70672
{txt}{space 13}_Iprov_33 {c |}{col 24}{res}{space 2} 2.033686{col 36}{space 2} .3925002{col 47}{space 1}    5.18{col 56}{space 3}0.000{col 64}{space 4} 1.247413{col 77}{space 3} 2.819958
{txt}{space 13}_Iprov_34 {c |}{col 24}{res}{space 2} .2715013{col 36}{space 2} .8123588{col 47}{space 1}    0.33{col 56}{space 3}0.739{col 64}{space 4}-1.355849{col 77}{space 3} 1.898852
{txt}{space 13}_Iprov_35 {c |}{col 24}{res}{space 2} 1.627626{col 36}{space 2} .3644952{col 47}{space 1}    4.47{col 56}{space 3}0.000{col 64}{space 4} .8974548{col 77}{space 3} 2.357798
{txt}{space 13}_Iprov_36 {c |}{col 24}{res}{space 2} 2.137086{col 36}{space 2} .5862396{col 47}{space 1}    3.65{col 56}{space 3}0.001{col 64}{space 4} .9627073{col 77}{space 3} 3.311465
{txt}{space 13}_Iprov_37 {c |}{col 24}{res}{space 2} 1.284752{col 36}{space 2} .5330117{col 47}{space 1}    2.41{col 56}{space 3}0.019{col 64}{space 4} .2170015{col 77}{space 3} 2.352503
{txt}{space 13}_Iprov_41 {c |}{col 24}{res}{space 2} .4172654{col 36}{space 2} .5409156{col 47}{space 1}    0.77{col 56}{space 3}0.444{col 64}{space 4}-.6663187{col 77}{space 3} 1.500849
{txt}{space 13}_Iprov_42 {c |}{col 24}{res}{space 2} 1.320168{col 36}{space 2} .9426607{col 47}{space 1}    1.40{col 56}{space 3}0.167{col 64}{space 4}-.5682079{col 77}{space 3} 3.208545
{txt}{space 13}_Iprov_43 {c |}{col 24}{res}{space 2} 1.837986{col 36}{space 2} .2360167{col 47}{space 1}    7.79{col 56}{space 3}0.000{col 64}{space 4} 1.365188{col 77}{space 3} 2.310784
{txt}{space 13}_Iprov_44 {c |}{col 24}{res}{space 2} 1.867421{col 36}{space 2}   .49708{col 47}{space 1}    3.76{col 56}{space 3}0.000{col 64}{space 4} .8716498{col 77}{space 3} 2.863192
{txt}{space 13}_Iprov_45 {c |}{col 24}{res}{space 2} .3738662{col 36}{space 2} .4399824{col 47}{space 1}    0.85{col 56}{space 3}0.399{col 64}{space 4}-.5075244{col 77}{space 3} 1.255257
{txt}{space 13}_Iprov_50 {c |}{col 24}{res}{space 2} 1.388044{col 36}{space 2} .1600685{col 47}{space 1}    8.67{col 56}{space 3}0.000{col 64}{space 4} 1.067388{col 77}{space 3} 1.708699
{txt}{space 13}_Iprov_51 {c |}{col 24}{res}{space 2} .6541587{col 36}{space 2} .2828962{col 47}{space 1}    2.31{col 56}{space 3}0.024{col 64}{space 4} .0874495{col 77}{space 3} 1.220868
{txt}{space 13}_Iprov_52 {c |}{col 24}{res}{space 2} 1.042572{col 36}{space 2} .1095034{col 47}{space 1}    9.52{col 56}{space 3}0.000{col 64}{space 4} .8232101{col 77}{space 3} 1.261934
{txt}{space 13}_Iprov_53 {c |}{col 24}{res}{space 2} .6202711{col 36}{space 2} .4904803{col 47}{space 1}    1.26{col 56}{space 3}0.211{col 64}{space 4}-.3622791{col 77}{space 3} 1.602821
{txt}{space 13}_Iprov_61 {c |}{col 24}{res}{space 2} .0125753{col 36}{space 2} .4839393{col 47}{space 1}    0.03{col 56}{space 3}0.979{col 64}{space 4}-.9568715{col 77}{space 3} .9820222
{txt}{space 13}_Iprov_62 {c |}{col 24}{res}{space 2}-.1447283{col 36}{space 2} .2069466{col 47}{space 1}   -0.70{col 56}{space 3}0.487{col 64}{space 4}-.5592922{col 77}{space 3} .2698355
{txt}{space 13}_Iprov_64 {c |}{col 24}{res}{space 2}-.2517183{col 36}{space 2} .2402988{col 47}{space 1}   -1.05{col 56}{space 3}0.299{col 64}{space 4}-.7330946{col 77}{space 3} .2296579
{txt}{space 13}_Iprov_65 {c |}{col 24}{res}{space 2} .0033663{col 36}{space 2} .2819761{col 47}{space 1}    0.01{col 56}{space 3}0.991{col 64}{space 4}-.5614997{col 77}{space 3} .5682322
{txt}{space 17}_cons {c |}{col 24}{res}{space 2}-.3754996{col 36}{space 2} 3.978959{col 47}{space 1}   -0.09{col 56}{space 3}0.925{col 64}{space 4}-8.346312{col 77}{space 3} 7.595312
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. estimates store table2_3
{txt}
{com}. estadd ysumm

{txt}added scalars:
                e(ysd) =  {res}2.7312196
               {txt}e(ymax) =  {res}10
               {txt}e(ymin) =  {res}0
              {txt}e(ymean) =  {res}4.0968677
{txt}
{com}. 
. xi:reg lackingdemocracy CRdeath_pop_prefecture `individual_controls' `prefectural_controls' `minimum_controls'  if local==1,cl(city_id)
{txt}i.prov{col 19}_Iprov_13-65{col 39}(naturally coded; _Iprov_13 omitted)
note: _Iprov_22 omitted because of collinearity
note: _Iprov_31 omitted because of collinearity
note: _Iprov_32 omitted because of collinearity
note: _Iprov_37 omitted because of collinearity
note: _Iprov_41 omitted because of collinearity
note: _Iprov_45 omitted because of collinearity
note: _Iprov_50 omitted because of collinearity
note: _Iprov_51 omitted because of collinearity
note: _Iprov_52 omitted because of collinearity
note: _Iprov_64 omitted because of collinearity
note: _Iprov_65 omitted because of collinearity

Linear regression                               Number of obs     = {res}     1,201
                                                {txt}{help j_robustsingular:F(35, 42) }        =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.1189
                                                {txt}Root MSE          =    {res} 2.6536

{txt}{ralign 88:(Std. Err. adjusted for {res:43} clusters in city_id)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}      lackingdemocracy{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
CRdeath_pop_prefecture {c |}{col 24}{res}{space 2} 1.130773{col 36}{space 2}  .148052{col 47}{space 1}    7.64{col 56}{space 3}0.000{col 64}{space 4} .8319922{col 77}{space 3} 1.429554
{txt}{space 18}male {c |}{col 24}{res}{space 2} .1168876{col 36}{space 2} .1816853{col 47}{space 1}    0.64{col 56}{space 3}0.523{col 64}{space 4}-.2497682{col 77}{space 3} .4835434
{txt}{space 19}age {c |}{col 24}{res}{space 2}-.0518374{col 36}{space 2} .0264557{col 47}{space 1}   -1.96{col 56}{space 3}0.057{col 64}{space 4}-.1052272{col 77}{space 3} .0015524
{txt}{space 13}agesquare {c |}{col 24}{res}{space 2} .0003415{col 36}{space 2} .0002531{col 47}{space 1}    1.35{col 56}{space 3}0.184{col 64}{space 4}-.0001693{col 77}{space 3} .0008522
{txt}{space 19}han {c |}{col 24}{res}{space 2}-.1745211{col 36}{space 2} .3294675{col 47}{space 1}   -0.53{col 56}{space 3}0.599{col 64}{space 4}-.8394134{col 77}{space 3} .4903712
{txt}{space 13}goodclass {c |}{col 24}{res}{space 2} -.117966{col 36}{space 2} .4543165{col 47}{space 1}   -0.26{col 56}{space 3}0.796{col 64}{space 4}-1.034814{col 77}{space 3} .7988818
{txt}{space 14}midclass {c |}{col 24}{res}{space 2}-.2452496{col 36}{space 2} .4672097{col 47}{space 1}   -0.52{col 56}{space 3}0.602{col 64}{space 4}-1.188117{col 77}{space 3} .6976177
{txt}{space 5}sexratio_1964_pre {c |}{col 24}{res}{space 2} 13.88319{col 36}{space 2} 3.201815{col 47}{space 1}    4.34{col 56}{space 3}0.000{col 64}{space 4} 7.421661{col 77}{space 3} 20.34471
{txt}urbanpopratio_1964_pre {c |}{col 24}{res}{space 2}-.1985049{col 36}{space 2} .0409074{col 47}{space 1}   -4.85{col 56}{space 3}0.000{col 64}{space 4}-.2810595{col 77}{space 3}-.1159504
{txt}{space 4}qingrebellioncount {c |}{col 24}{res}{space 2}-.0146074{col 36}{space 2} .0587772{col 47}{space 1}   -0.25{col 56}{space 3}0.805{col 64}{space 4}-.1332246{col 77}{space 3} .1040097
{txt}{space 8}popdensity1964 {c |}{col 24}{res}{space 2}-.0026199{col 36}{space 2} .0014215{col 47}{space 1}   -1.84{col 56}{space 3}0.072{col 64}{space 4}-.0054886{col 77}{space 3} .0002488
{txt}{space 14}lnpergdp {c |}{col 24}{res}{space 2} 6.708664{col 36}{space 2} 1.645618{col 47}{space 1}    4.08{col 56}{space 3}0.000{col 64}{space 4} 3.387672{col 77}{space 3} 10.02966
{txt}{space 15}shouzai {c |}{col 24}{res}{space 2}  .460195{col 36}{space 2} .1689156{col 47}{space 1}    2.72{col 56}{space 3}0.009{col 64}{space 4} .1193095{col 77}{space 3} .8010805
{txt}{space 16}extrap {c |}{col 24}{res}{space 2} -1.50922{col 36}{space 2} .3224157{col 47}{space 1}   -4.68{col 56}{space 3}0.000{col 64}{space 4}-2.159881{col 77}{space 3}-.8585583
{txt}{space 19}pmd {c |}{col 24}{res}{space 2}-.1597632{col 36}{space 2} .0400687{col 47}{space 1}   -3.99{col 56}{space 3}0.000{col 64}{space 4}-.2406252{col 77}{space 3}-.0789012
{txt}{space 13}longitude {c |}{col 24}{res}{space 2}   .51106{col 36}{space 2} .1089436{col 47}{space 1}    4.69{col 56}{space 3}0.000{col 64}{space 4} .2912029{col 77}{space 3} .7309171
{txt}{space 14}latitude {c |}{col 24}{res}{space 2}-.1118342{col 36}{space 2} .1682063{col 47}{space 1}   -0.66{col 56}{space 3}0.510{col 64}{space 4}-.4512883{col 77}{space 3}   .22762
{txt}{space 14}resource {c |}{col 24}{res}{space 2}-.8667122{col 36}{space 2} .2299683{col 47}{space 1}   -3.77{col 56}{space 3}0.001{col 64}{space 4}-1.330807{col 77}{space 3}-.4026174
{txt}{space 16}colony {c |}{col 24}{res}{space 2} .7761466{col 36}{space 2} .4791673{col 47}{space 1}    1.62{col 56}{space 3}0.113{col 64}{space 4}-.1908522{col 77}{space 3} 1.743145
{txt}{space 16}suit_m {c |}{col 24}{res}{space 2}-1.351817{col 36}{space 2} .3595877{col 47}{space 1}   -3.76{col 56}{space 3}0.001{col 64}{space 4}-2.077494{col 77}{space 3}-.6261391
{txt}{space 5}distancetobeijing {c |}{col 24}{res}{space 2}    .0038{col 36}{space 2} .0017569{col 47}{space 1}    2.16{col 56}{space 3}0.036{col 64}{space 4} .0002544{col 77}{space 3} .0073456
{txt}{space 11}riverlength {c |}{col 24}{res}{space 2}-.0124047{col 36}{space 2} .0027043{col 47}{space 1}   -4.59{col 56}{space 3}0.000{col 64}{space 4}-.0178622{col 77}{space 3}-.0069472
{txt}{space 5}log_accountlength {c |}{col 24}{res}{space 2}   .25641{col 36}{space 2} .4552018{col 47}{space 1}    0.56{col 56}{space 3}0.576{col 64}{space 4}-.6622244{col 77}{space 3} 1.175044
{txt}{space 13}_Iprov_15 {c |}{col 24}{res}{space 2}-11.74553{col 36}{space 2}  1.96411{col 47}{space 1}   -5.98{col 56}{space 3}0.000{col 64}{space 4}-15.70926{col 77}{space 3}-7.781794
{txt}{space 13}_Iprov_21 {c |}{col 24}{res}{space 2}-2.859884{col 36}{space 2} 1.248464{col 47}{space 1}   -2.29{col 56}{space 3}0.027{col 64}{space 4}-5.379387{col 77}{space 3}-.3403804
{txt}{space 13}_Iprov_22 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_23 {c |}{col 24}{res}{space 2}-9.698777{col 36}{space 2} 2.085754{col 47}{space 1}   -4.65{col 56}{space 3}0.000{col 64}{space 4}  -13.908{col 77}{space 3}-5.489556
{txt}{space 13}_Iprov_31 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_32 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_33 {c |}{col 24}{res}{space 2}-9.747736{col 36}{space 2} 2.059769{col 47}{space 1}   -4.73{col 56}{space 3}0.000{col 64}{space 4}-13.90452{col 77}{space 3}-5.590955
{txt}{space 13}_Iprov_34 {c |}{col 24}{res}{space 2} -7.19488{col 36}{space 2} 1.448235{col 47}{space 1}   -4.97{col 56}{space 3}0.000{col 64}{space 4}-10.11754{col 77}{space 3}-4.272223
{txt}{space 13}_Iprov_35 {c |}{col 24}{res}{space 2}-3.926139{col 36}{space 2} 1.776417{col 47}{space 1}   -2.21{col 56}{space 3}0.033{col 64}{space 4}-7.511093{col 77}{space 3}-.3411849
{txt}{space 13}_Iprov_36 {c |}{col 24}{res}{space 2} 1.719153{col 36}{space 2} 1.199348{col 47}{space 1}    1.43{col 56}{space 3}0.159{col 64}{space 4}-.7012303{col 77}{space 3} 4.139536
{txt}{space 13}_Iprov_37 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_41 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_42 {c |}{col 24}{res}{space 2}-4.192255{col 36}{space 2} 1.078659{col 47}{space 1}   -3.89{col 56}{space 3}0.000{col 64}{space 4}-6.369076{col 77}{space 3}-2.015434
{txt}{space 13}_Iprov_43 {c |}{col 24}{res}{space 2} .2350925{col 36}{space 2} .4660119{col 47}{space 1}    0.50{col 56}{space 3}0.617{col 64}{space 4}-.7053576{col 77}{space 3} 1.175543
{txt}{space 13}_Iprov_44 {c |}{col 24}{res}{space 2}-4.361703{col 36}{space 2}  2.09068{col 47}{space 1}   -2.09{col 56}{space 3}0.043{col 64}{space 4}-8.580865{col 77}{space 3}-.1425404
{txt}{space 13}_Iprov_45 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_50 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_51 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_52 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_53 {c |}{col 24}{res}{space 2} 1.393478{col 36}{space 2}  .894449{col 47}{space 1}    1.56{col 56}{space 3}0.127{col 64}{space 4}-.4115933{col 77}{space 3} 3.198549
{txt}{space 13}_Iprov_61 {c |}{col 24}{res}{space 2}-2.701988{col 36}{space 2} .4766217{col 47}{space 1}   -5.67{col 56}{space 3}0.000{col 64}{space 4} -3.66385{col 77}{space 3}-1.740127
{txt}{space 13}_Iprov_62 {c |}{col 24}{res}{space 2} 2.939981{col 36}{space 2} 1.346628{col 47}{space 1}    2.18{col 56}{space 3}0.035{col 64}{space 4} .2223757{col 77}{space 3} 5.657586
{txt}{space 13}_Iprov_64 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_65 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 17}_cons {c |}{col 24}{res}{space 2} -92.3603{col 36}{space 2} 20.96376{col 47}{space 1}   -4.41{col 56}{space 3}0.000{col 64}{space 4}-134.6669{col 77}{space 3}-50.05373
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. estimates store table2_4
{txt}
{com}. estadd ysumm

{txt}added scalars:
                e(ysd) =  {res}2.7843213
               {txt}e(ymax) =  {res}10
               {txt}e(ymin) =  {res}0
              {txt}e(ymean) =  {res}4.0649459
{txt}
{com}. 
. xi:reg lackingfreeexpression CRdeath_pop_prefecture `minimum_controls' if local==1,cl(city_id)
{txt}i.prov{col 19}_Iprov_13-65{col 39}(naturally coded; _Iprov_13 omitted)

Linear regression                               Number of obs     = {res}     1,887
                                                {txt}{help j_robustsingular:F(21, 56) }        =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.0831
                                                {txt}Root MSE          =    {res} 2.6811

{txt}{ralign 88:(Std. Err. adjusted for {res:57} clusters in city_id)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1} lackingfreeexpression{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
CRdeath_pop_prefecture {c |}{col 24}{res}{space 2} .0683943{col 36}{space 2} .1928801{col 47}{space 1}    0.35{col 56}{space 3}0.724{col 64}{space 4}-.3179909{col 77}{space 3} .4547795
{txt}{space 5}log_accountlength {c |}{col 24}{res}{space 2} .1740069{col 36}{space 2} .3754928{col 47}{space 1}    0.46{col 56}{space 3}0.645{col 64}{space 4}-.5781957{col 77}{space 3} .9262094
{txt}{space 13}_Iprov_15 {c |}{col 24}{res}{space 2} 1.264481{col 36}{space 2} .6159678{col 47}{space 1}    2.05{col 56}{space 3}0.045{col 64}{space 4} .0305495{col 77}{space 3} 2.498413
{txt}{space 13}_Iprov_21 {c |}{col 24}{res}{space 2} .9828345{col 36}{space 2} .3632692{col 47}{space 1}    2.71{col 56}{space 3}0.009{col 64}{space 4} .2551189{col 77}{space 3}  1.71055
{txt}{space 13}_Iprov_22 {c |}{col 24}{res}{space 2}-.1988702{col 36}{space 2}  .171993{col 47}{space 1}   -1.16{col 56}{space 3}0.252{col 64}{space 4}-.5434135{col 77}{space 3} .1456732
{txt}{space 13}_Iprov_23 {c |}{col 24}{res}{space 2}-.0883107{col 36}{space 2} .4455252{col 47}{space 1}   -0.20{col 56}{space 3}0.844{col 64}{space 4}-.9808049{col 77}{space 3} .8041835
{txt}{space 13}_Iprov_31 {c |}{col 24}{res}{space 2} 3.731067{col 36}{space 2} .1024096{col 47}{space 1}   36.43{col 56}{space 3}0.000{col 64}{space 4} 3.525916{col 77}{space 3} 3.936218
{txt}{space 13}_Iprov_32 {c |}{col 24}{res}{space 2} .9008642{col 36}{space 2} .3598099{col 47}{space 1}    2.50{col 56}{space 3}0.015{col 64}{space 4} .1800783{col 77}{space 3}  1.62165
{txt}{space 13}_Iprov_33 {c |}{col 24}{res}{space 2} 1.337486{col 36}{space 2} .7458208{col 47}{space 1}    1.79{col 56}{space 3}0.078{col 64}{space 4} -.156573{col 77}{space 3} 2.831544
{txt}{space 13}_Iprov_34 {c |}{col 24}{res}{space 2}-.2973087{col 36}{space 2}  .386748{col 47}{space 1}   -0.77{col 56}{space 3}0.445{col 64}{space 4}-1.072058{col 77}{space 3} .4774405
{txt}{space 13}_Iprov_35 {c |}{col 24}{res}{space 2} 1.506864{col 36}{space 2} .3927938{col 47}{space 1}    3.84{col 56}{space 3}0.000{col 64}{space 4} .7200036{col 77}{space 3} 2.293725
{txt}{space 13}_Iprov_36 {c |}{col 24}{res}{space 2} 1.815923{col 36}{space 2} .4146716{col 47}{space 1}    4.38{col 56}{space 3}0.000{col 64}{space 4} .9852364{col 77}{space 3}  2.64661
{txt}{space 13}_Iprov_37 {c |}{col 24}{res}{space 2} 1.352771{col 36}{space 2} .5136224{col 47}{space 1}    2.63{col 56}{space 3}0.011{col 64}{space 4} .3238617{col 77}{space 3}  2.38168
{txt}{space 13}_Iprov_41 {c |}{col 24}{res}{space 2} .1070368{col 36}{space 2} .1861922{col 47}{space 1}    0.57{col 56}{space 3}0.568{col 64}{space 4} -.265951{col 77}{space 3} .4800246
{txt}{space 13}_Iprov_42 {c |}{col 24}{res}{space 2} .6714971{col 36}{space 2} .9596877{col 47}{space 1}    0.70{col 56}{space 3}0.487{col 64}{space 4}-1.250988{col 77}{space 3} 2.593983
{txt}{space 13}_Iprov_43 {c |}{col 24}{res}{space 2}  .444065{col 36}{space 2} .3884868{col 47}{space 1}    1.14{col 56}{space 3}0.258{col 64}{space 4}-.3341675{col 77}{space 3} 1.222298
{txt}{space 13}_Iprov_44 {c |}{col 24}{res}{space 2} 2.291698{col 36}{space 2} .3374047{col 47}{space 1}    6.79{col 56}{space 3}0.000{col 64}{space 4} 1.615795{col 77}{space 3} 2.967601
{txt}{space 13}_Iprov_45 {c |}{col 24}{res}{space 2} .7046438{col 36}{space 2} .6987699{col 47}{space 1}    1.01{col 56}{space 3}0.318{col 64}{space 4}-.6951605{col 77}{space 3} 2.104448
{txt}{space 13}_Iprov_50 {c |}{col 24}{res}{space 2} 1.150399{col 36}{space 2} .1593359{col 47}{space 1}    7.22{col 56}{space 3}0.000{col 64}{space 4} .8312111{col 77}{space 3} 1.469588
{txt}{space 13}_Iprov_51 {c |}{col 24}{res}{space 2} .4515945{col 36}{space 2} .1783644{col 47}{space 1}    2.53{col 56}{space 3}0.014{col 64}{space 4} .0942876{col 77}{space 3} .8089014
{txt}{space 13}_Iprov_52 {c |}{col 24}{res}{space 2} 1.827268{col 36}{space 2} .1225931{col 47}{space 1}   14.91{col 56}{space 3}0.000{col 64}{space 4} 1.581684{col 77}{space 3} 2.072851
{txt}{space 13}_Iprov_53 {c |}{col 24}{res}{space 2} 1.956146{col 36}{space 2} .1641916{col 47}{space 1}   11.91{col 56}{space 3}0.000{col 64}{space 4} 1.627231{col 77}{space 3} 2.285062
{txt}{space 13}_Iprov_61 {c |}{col 24}{res}{space 2} .5060983{col 36}{space 2} .3163807{col 47}{space 1}    1.60{col 56}{space 3}0.115{col 64}{space 4}-.1276885{col 77}{space 3} 1.139885
{txt}{space 13}_Iprov_62 {c |}{col 24}{res}{space 2}-.2210759{col 36}{space 2} .3264913{col 47}{space 1}   -0.68{col 56}{space 3}0.501{col 64}{space 4}-.8751166{col 77}{space 3} .4329647
{txt}{space 13}_Iprov_64 {c |}{col 24}{res}{space 2} 1.419536{col 36}{space 2} .2235174{col 47}{space 1}    6.35{col 56}{space 3}0.000{col 64}{space 4} .9717765{col 77}{space 3} 1.867295
{txt}{space 13}_Iprov_65 {c |}{col 24}{res}{space 2} 1.301272{col 36}{space 2} .0862224{col 47}{space 1}   15.09{col 56}{space 3}0.000{col 64}{space 4} 1.128547{col 77}{space 3} 1.473996
{txt}{space 17}_cons {c |}{col 24}{res}{space 2} .8915872{col 36}{space 2} 3.246316{col 47}{space 1}    0.27{col 56}{space 3}0.785{col 64}{space 4}-5.611566{col 77}{space 3}  7.39474
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. estimates store table2_5
{txt}
{com}. estadd ysumm

{txt}added scalars:
                e(ysd) =  {res}2.7806889
               {txt}e(ymax) =  {res}10
               {txt}e(ymin) =  {res}0
              {txt}e(ymean) =  {res}3.1738209
{txt}
{com}. 
. xi:reg lackingfreeexpression CRdeath_pop_prefecture `individual_controls' `prefectural_controls' `minimum_controls' if local==1,cl(city_id)
{txt}i.prov{col 19}_Iprov_13-65{col 39}(naturally coded; _Iprov_13 omitted)
note: _Iprov_22 omitted because of collinearity
note: _Iprov_31 omitted because of collinearity
note: _Iprov_32 omitted because of collinearity
note: _Iprov_37 omitted because of collinearity
note: _Iprov_41 omitted because of collinearity
note: _Iprov_45 omitted because of collinearity
note: _Iprov_50 omitted because of collinearity
note: _Iprov_51 omitted because of collinearity
note: _Iprov_52 omitted because of collinearity
note: _Iprov_64 omitted because of collinearity
note: _Iprov_65 omitted because of collinearity

Linear regression                               Number of obs     = {res}     1,319
                                                {txt}{help j_robustsingular:F(35, 42) }        =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.1289
                                                {txt}Root MSE          =    {res} 2.6392

{txt}{ralign 88:(Std. Err. adjusted for {res:43} clusters in city_id)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1} lackingfreeexpression{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
CRdeath_pop_prefecture {c |}{col 24}{res}{space 2}  1.04742{col 36}{space 2} .1705877{col 47}{space 1}    6.14{col 56}{space 3}0.000{col 64}{space 4}   .70316{col 77}{space 3}  1.39168
{txt}{space 18}male {c |}{col 24}{res}{space 2}-.0571399{col 36}{space 2} .1620376{col 47}{space 1}   -0.35{col 56}{space 3}0.726{col 64}{space 4}-.3841451{col 77}{space 3} .2698653
{txt}{space 19}age {c |}{col 24}{res}{space 2}-.0229551{col 36}{space 2} .0295824{col 47}{space 1}   -0.78{col 56}{space 3}0.442{col 64}{space 4}-.0826548{col 77}{space 3} .0367446
{txt}{space 13}agesquare {c |}{col 24}{res}{space 2} .0001097{col 36}{space 2} .0002915{col 47}{space 1}    0.38{col 56}{space 3}0.709{col 64}{space 4}-.0004785{col 77}{space 3} .0006979
{txt}{space 19}han {c |}{col 24}{res}{space 2}-.4355181{col 36}{space 2} .3527442{col 47}{space 1}   -1.23{col 56}{space 3}0.224{col 64}{space 4}-1.147385{col 77}{space 3} .2763486
{txt}{space 13}goodclass {c |}{col 24}{res}{space 2}-.1672603{col 36}{space 2}  .394178{col 47}{space 1}   -0.42{col 56}{space 3}0.673{col 64}{space 4}-.9627437{col 77}{space 3} .6282232
{txt}{space 14}midclass {c |}{col 24}{res}{space 2}-.0435075{col 36}{space 2} .3951943{col 47}{space 1}   -0.11{col 56}{space 3}0.913{col 64}{space 4}-.8410418{col 77}{space 3} .7540268
{txt}{space 5}sexratio_1964_pre {c |}{col 24}{res}{space 2} 21.14943{col 36}{space 2} 2.803767{col 47}{space 1}    7.54{col 56}{space 3}0.000{col 64}{space 4}  15.4912{col 77}{space 3} 26.80767
{txt}urbanpopratio_1964_pre {c |}{col 24}{res}{space 2}-.1350928{col 36}{space 2} .0322058{col 47}{space 1}   -4.19{col 56}{space 3}0.000{col 64}{space 4}-.2000867{col 77}{space 3} -.070099
{txt}{space 4}qingrebellioncount {c |}{col 24}{res}{space 2}-.1269546{col 36}{space 2} .0334324{col 47}{space 1}   -3.80{col 56}{space 3}0.000{col 64}{space 4}-.1944239{col 77}{space 3}-.0594853
{txt}{space 8}popdensity1964 {c |}{col 24}{res}{space 2} -.003318{col 36}{space 2} .0009386{col 47}{space 1}   -3.53{col 56}{space 3}0.001{col 64}{space 4}-.0052123{col 77}{space 3}-.0014238
{txt}{space 14}lnpergdp {c |}{col 24}{res}{space 2} 6.926901{col 36}{space 2} 1.272137{col 47}{space 1}    5.45{col 56}{space 3}0.000{col 64}{space 4} 4.359626{col 77}{space 3} 9.494177
{txt}{space 15}shouzai {c |}{col 24}{res}{space 2} .7466487{col 36}{space 2} .2080336{col 47}{space 1}    3.59{col 56}{space 3}0.001{col 64}{space 4} .3268199{col 77}{space 3} 1.166477
{txt}{space 16}extrap {c |}{col 24}{res}{space 2}-2.041894{col 36}{space 2} .3752454{col 47}{space 1}   -5.44{col 56}{space 3}0.000{col 64}{space 4} -2.79917{col 77}{space 3}-1.284618
{txt}{space 19}pmd {c |}{col 24}{res}{space 2}-.2238145{col 36}{space 2} .0447917{col 47}{space 1}   -5.00{col 56}{space 3}0.000{col 64}{space 4}-.3142079{col 77}{space 3}-.1334212
{txt}{space 13}longitude {c |}{col 24}{res}{space 2} .4836195{col 36}{space 2} .0925997{col 47}{space 1}    5.22{col 56}{space 3}0.000{col 64}{space 4} .2967458{col 77}{space 3} .6704933
{txt}{space 14}latitude {c |}{col 24}{res}{space 2}-.1475925{col 36}{space 2} .1294312{col 47}{space 1}   -1.14{col 56}{space 3}0.261{col 64}{space 4}-.4087953{col 77}{space 3} .1136103
{txt}{space 14}resource {c |}{col 24}{res}{space 2}-1.291846{col 36}{space 2}  .291388{col 47}{space 1}   -4.43{col 56}{space 3}0.000{col 64}{space 4}-1.879891{col 77}{space 3}-.7038011
{txt}{space 16}colony {c |}{col 24}{res}{space 2} 2.326108{col 36}{space 2} .3323658{col 47}{space 1}    7.00{col 56}{space 3}0.000{col 64}{space 4} 1.655367{col 77}{space 3}  2.99685
{txt}{space 16}suit_m {c |}{col 24}{res}{space 2}-.8528064{col 36}{space 2} .3511802{col 47}{space 1}   -2.43{col 56}{space 3}0.020{col 64}{space 4}-1.561517{col 77}{space 3}-.1440961
{txt}{space 5}distancetobeijing {c |}{col 24}{res}{space 2} .0044281{col 36}{space 2} .0019928{col 47}{space 1}    2.22{col 56}{space 3}0.032{col 64}{space 4} .0004063{col 77}{space 3} .0084498
{txt}{space 11}riverlength {c |}{col 24}{res}{space 2}-5.10e-06{col 36}{space 2} .0019839{col 47}{space 1}   -0.00{col 56}{space 3}0.998{col 64}{space 4}-.0040088{col 77}{space 3} .0039986
{txt}{space 5}log_accountlength {c |}{col 24}{res}{space 2}-.3144531{col 36}{space 2} .2208293{col 47}{space 1}   -1.42{col 56}{space 3}0.162{col 64}{space 4}-.7601045{col 77}{space 3} .1311984
{txt}{space 13}_Iprov_15 {c |}{col 24}{res}{space 2}-12.85203{col 36}{space 2} 2.267502{col 47}{space 1}   -5.67{col 56}{space 3}0.000{col 64}{space 4}-17.42804{col 77}{space 3}-8.276029
{txt}{space 13}_Iprov_21 {c |}{col 24}{res}{space 2} .0748823{col 36}{space 2} .8273915{col 47}{space 1}    0.09{col 56}{space 3}0.928{col 64}{space 4}-1.594861{col 77}{space 3} 1.744626
{txt}{space 13}_Iprov_22 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_23 {c |}{col 24}{res}{space 2}-12.48708{col 36}{space 2} 2.295927{col 47}{space 1}   -5.44{col 56}{space 3}0.000{col 64}{space 4}-17.12045{col 77}{space 3} -7.85371
{txt}{space 13}_Iprov_31 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_32 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_33 {c |}{col 24}{res}{space 2} -12.0944{col 36}{space 2} 1.936789{col 47}{space 1}   -6.24{col 56}{space 3}0.000{col 64}{space 4}-16.00299{col 77}{space 3}-8.185799
{txt}{space 13}_Iprov_34 {c |}{col 24}{res}{space 2}-10.27861{col 36}{space 2} 1.436579{col 47}{space 1}   -7.15{col 56}{space 3}0.000{col 64}{space 4}-13.17775{col 77}{space 3}-7.379479
{txt}{space 13}_Iprov_35 {c |}{col 24}{res}{space 2}-1.551611{col 36}{space 2} 1.184832{col 47}{space 1}   -1.31{col 56}{space 3}0.197{col 64}{space 4}-3.942698{col 77}{space 3} .8394759
{txt}{space 13}_Iprov_36 {c |}{col 24}{res}{space 2}  1.93474{col 36}{space 2} 1.208039{col 47}{space 1}    1.60{col 56}{space 3}0.117{col 64}{space 4}-.5031811{col 77}{space 3} 4.372662
{txt}{space 13}_Iprov_37 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_41 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_42 {c |}{col 24}{res}{space 2}-6.207823{col 36}{space 2}  1.08288{col 47}{space 1}   -5.73{col 56}{space 3}0.000{col 64}{space 4}-8.393164{col 77}{space 3}-4.022483
{txt}{space 13}_Iprov_43 {c |}{col 24}{res}{space 2}-1.451623{col 36}{space 2}  .443987{col 47}{space 1}   -3.27{col 56}{space 3}0.002{col 64}{space 4}-2.347625{col 77}{space 3} -.555621
{txt}{space 13}_Iprov_44 {c |}{col 24}{res}{space 2}-4.685887{col 36}{space 2} 1.414165{col 47}{space 1}   -3.31{col 56}{space 3}0.002{col 64}{space 4}-7.539787{col 77}{space 3}-1.831987
{txt}{space 13}_Iprov_45 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_50 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_51 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_52 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_53 {c |}{col 24}{res}{space 2}  4.28925{col 36}{space 2} .9104454{col 47}{space 1}    4.71{col 56}{space 3}0.000{col 64}{space 4} 2.451896{col 77}{space 3} 6.126603
{txt}{space 13}_Iprov_61 {c |}{col 24}{res}{space 2}-2.101938{col 36}{space 2} .3956553{col 47}{space 1}   -5.31{col 56}{space 3}0.000{col 64}{space 4}-2.900403{col 77}{space 3}-1.303473
{txt}{space 13}_Iprov_62 {c |}{col 24}{res}{space 2} 5.819132{col 36}{space 2} 1.534001{col 47}{space 1}    3.79{col 56}{space 3}0.000{col 64}{space 4} 2.723392{col 77}{space 3} 8.914872
{txt}{space 13}_Iprov_64 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_65 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 17}_cons {c |}{col 24}{res}{space 2}-95.36224{col 36}{space 2} 19.30271{col 47}{space 1}   -4.94{col 56}{space 3}0.000{col 64}{space 4}-134.3167{col 77}{space 3}-56.40779
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. estimates store table2_6
{txt}
{com}. estadd ysumm

{txt}added scalars:
                e(ysd) =  {res}2.7888555
               {txt}e(ymax) =  {res}10
               {txt}e(ymin) =  {res}0
              {txt}e(ymean) =  {res}3.0386657
{txt}
{com}. 
. xi:reg everprotested CRdeath_pop_prefecture `minimum_controls' if local==1,cl(city_id)
{txt}i.prov{col 19}_Iprov_13-65{col 39}(naturally coded; _Iprov_13 omitted)

Linear regression                               Number of obs     = {res}     2,081
                                                {txt}{help j_robustsingular:F(21, 56) }        =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.0213
                                                {txt}Root MSE          =    {res} .11473

{txt}{ralign 88:(Std. Err. adjusted for {res:57} clusters in city_id)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}         everprotested{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
CRdeath_pop_prefecture {c |}{col 24}{res}{space 2}-.0030215{col 36}{space 2} .0028963{col 47}{space 1}   -1.04{col 56}{space 3}0.301{col 64}{space 4}-.0088236{col 77}{space 3} .0027805
{txt}{space 5}log_accountlength {c |}{col 24}{res}{space 2}-.0021662{col 36}{space 2} .0102904{col 47}{space 1}   -0.21{col 56}{space 3}0.834{col 64}{space 4}-.0227803{col 77}{space 3}  .018448
{txt}{space 13}_Iprov_15 {c |}{col 24}{res}{space 2} .0059967{col 36}{space 2} .0081452{col 47}{space 1}    0.74{col 56}{space 3}0.465{col 64}{space 4}-.0103202{col 77}{space 3} .0223135
{txt}{space 13}_Iprov_21 {c |}{col 24}{res}{space 2}-.0130959{col 36}{space 2} .0046611{col 47}{space 1}   -2.81{col 56}{space 3}0.007{col 64}{space 4}-.0224331{col 77}{space 3}-.0037587
{txt}{space 13}_Iprov_22 {c |}{col 24}{res}{space 2}-.0134326{col 36}{space 2} .0047671{col 47}{space 1}   -2.82{col 56}{space 3}0.007{col 64}{space 4}-.0229823{col 77}{space 3}-.0038829
{txt}{space 13}_Iprov_23 {c |}{col 24}{res}{space 2} .0188856{col 36}{space 2} .0123504{col 47}{space 1}    1.53{col 56}{space 3}0.132{col 64}{space 4}-.0058552{col 77}{space 3} .0436263
{txt}{space 13}_Iprov_31 {c |}{col 24}{res}{space 2}-.0102903{col 36}{space 2} .0050755{col 47}{space 1}   -2.03{col 56}{space 3}0.047{col 64}{space 4}-.0204577{col 77}{space 3}-.0001228
{txt}{space 13}_Iprov_32 {c |}{col 24}{res}{space 2}  .039959{col 36}{space 2} .0349508{col 47}{space 1}    1.14{col 56}{space 3}0.258{col 64}{space 4}-.0300558{col 77}{space 3} .1099739
{txt}{space 13}_Iprov_33 {c |}{col 24}{res}{space 2}-.0148315{col 36}{space 2} .0076502{col 47}{space 1}   -1.94{col 56}{space 3}0.058{col 64}{space 4}-.0301566{col 77}{space 3} .0004937
{txt}{space 13}_Iprov_34 {c |}{col 24}{res}{space 2}  .008138{col 36}{space 2} .0121882{col 47}{space 1}    0.67{col 56}{space 3}0.507{col 64}{space 4} -.016278{col 77}{space 3}  .032554
{txt}{space 13}_Iprov_35 {c |}{col 24}{res}{space 2} -.014049{col 36}{space 2} .0054639{col 47}{space 1}   -2.57{col 56}{space 3}0.013{col 64}{space 4}-.0249946{col 77}{space 3}-.0031035
{txt}{space 13}_Iprov_36 {c |}{col 24}{res}{space 2}-.0144333{col 36}{space 2} .0073842{col 47}{space 1}   -1.95{col 56}{space 3}0.056{col 64}{space 4}-.0292257{col 77}{space 3} .0003591
{txt}{space 13}_Iprov_37 {c |}{col 24}{res}{space 2} .0146486{col 36}{space 2} .0249612{col 47}{space 1}    0.59{col 56}{space 3}0.560{col 64}{space 4}-.0353546{col 77}{space 3} .0646519
{txt}{space 13}_Iprov_41 {c |}{col 24}{res}{space 2}-.0135961{col 36}{space 2} .0048707{col 47}{space 1}   -2.79{col 56}{space 3}0.007{col 64}{space 4}-.0233532{col 77}{space 3}-.0038389
{txt}{space 13}_Iprov_42 {c |}{col 24}{res}{space 2}-.0085124{col 36}{space 2} .0091002{col 47}{space 1}   -0.94{col 56}{space 3}0.354{col 64}{space 4}-.0267422{col 77}{space 3} .0097175
{txt}{space 13}_Iprov_43 {c |}{col 24}{res}{space 2}-.0026093{col 36}{space 2} .0074397{col 47}{space 1}   -0.35{col 56}{space 3}0.727{col 64}{space 4}-.0175128{col 77}{space 3} .0122943
{txt}{space 13}_Iprov_44 {c |}{col 24}{res}{space 2} .0090214{col 36}{space 2} .0169765{col 47}{space 1}    0.53{col 56}{space 3}0.597{col 64}{space 4}-.0249867{col 77}{space 3} .0430295
{txt}{space 13}_Iprov_45 {c |}{col 24}{res}{space 2}-.0014043{col 36}{space 2} .0089078{col 47}{space 1}   -0.16{col 56}{space 3}0.875{col 64}{space 4}-.0192488{col 77}{space 3} .0164402
{txt}{space 13}_Iprov_50 {c |}{col 24}{res}{space 2}-.0133159{col 36}{space 2} .0046814{col 47}{space 1}   -2.84{col 56}{space 3}0.006{col 64}{space 4}-.0226938{col 77}{space 3} -.003938
{txt}{space 13}_Iprov_51 {c |}{col 24}{res}{space 2} .0075251{col 36}{space 2} .0095495{col 47}{space 1}    0.79{col 56}{space 3}0.434{col 64}{space 4}-.0116049{col 77}{space 3} .0266551
{txt}{space 13}_Iprov_52 {c |}{col 24}{res}{space 2} .0874492{col 36}{space 2}  .005045{col 47}{space 1}   17.33{col 56}{space 3}0.000{col 64}{space 4} .0773429{col 77}{space 3} .0975554
{txt}{space 13}_Iprov_53 {c |}{col 24}{res}{space 2}-.0057875{col 36}{space 2}  .004997{col 47}{space 1}   -1.16{col 56}{space 3}0.252{col 64}{space 4}-.0157977{col 77}{space 3} .0042226
{txt}{space 13}_Iprov_61 {c |}{col 24}{res}{space 2}-.0097365{col 36}{space 2} .0100948{col 47}{space 1}   -0.96{col 56}{space 3}0.339{col 64}{space 4}-.0299588{col 77}{space 3} .0104859
{txt}{space 13}_Iprov_62 {c |}{col 24}{res}{space 2}-.0130218{col 36}{space 2} .0046658{col 47}{space 1}   -2.79{col 56}{space 3}0.007{col 64}{space 4}-.0223685{col 77}{space 3}-.0036751
{txt}{space 13}_Iprov_64 {c |}{col 24}{res}{space 2}-.0140897{col 36}{space 2} .0053422{col 47}{space 1}   -2.64{col 56}{space 3}0.011{col 64}{space 4}-.0247915{col 77}{space 3}-.0033879
{txt}{space 13}_Iprov_65 {c |}{col 24}{res}{space 2} .0329128{col 36}{space 2} .0168328{col 47}{space 1}    1.96{col 56}{space 3}0.056{col 64}{space 4}-.0008073{col 77}{space 3} .0666329
{txt}{space 17}_cons {c |}{col 24}{res}{space 2} .0319148{col 36}{space 2}  .086805{col 47}{space 1}    0.37{col 56}{space 3}0.715{col 64}{space 4}-.1419764{col 77}{space 3} .2058061
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. estimates store table2_7
{txt}
{com}. estadd ysumm

{txt}added scalars:
                e(ysd) =  {res}.11524067
               {txt}e(ymax) =  {res}1
               {txt}e(ymin) =  {res}0
              {txt}e(ymean) =  {res}.01345507
{txt}
{com}. 
. xi:reg everprotested CRdeath_pop_prefecture `individual_controls' `prefectural_controls' `minimum_controls' if local==1,cl(city_id)
{txt}i.prov{col 19}_Iprov_13-65{col 39}(naturally coded; _Iprov_13 omitted)
note: _Iprov_22 omitted because of collinearity
note: _Iprov_23 omitted because of collinearity
note: _Iprov_31 omitted because of collinearity
note: _Iprov_32 omitted because of collinearity
note: _Iprov_37 omitted because of collinearity
note: _Iprov_41 omitted because of collinearity
note: _Iprov_45 omitted because of collinearity
note: _Iprov_50 omitted because of collinearity
note: _Iprov_52 omitted because of collinearity
note: _Iprov_64 omitted because of collinearity
note: _Iprov_65 omitted because of collinearity

Linear regression                               Number of obs     = {res}     1,461
                                                {txt}{help j_robustsingular:F(35, 42) }        =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.0224
                                                {txt}Root MSE          =    {res} .09756

{txt}{ralign 88:(Std. Err. adjusted for {res:43} clusters in city_id)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}         everprotested{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
CRdeath_pop_prefecture {c |}{col 24}{res}{space 2}-.0130632{col 36}{space 2}  .002055{col 47}{space 1}   -6.36{col 56}{space 3}0.000{col 64}{space 4}-.0172104{col 77}{space 3}-.0089159
{txt}{space 18}male {c |}{col 24}{res}{space 2} .0131467{col 36}{space 2} .0043584{col 47}{space 1}    3.02{col 56}{space 3}0.004{col 64}{space 4} .0043512{col 77}{space 3} .0219422
{txt}{space 19}age {c |}{col 24}{res}{space 2}  -.00112{col 36}{space 2} .0009411{col 47}{space 1}   -1.19{col 56}{space 3}0.241{col 64}{space 4}-.0030192{col 77}{space 3} .0007793
{txt}{space 13}agesquare {c |}{col 24}{res}{space 2} .0000116{col 36}{space 2} 9.28e-06{col 47}{space 1}    1.26{col 56}{space 3}0.216{col 64}{space 4}-7.08e-06{col 77}{space 3} .0000304
{txt}{space 19}han {c |}{col 24}{res}{space 2} .0094371{col 36}{space 2} .0047673{col 47}{space 1}    1.98{col 56}{space 3}0.054{col 64}{space 4}-.0001836{col 77}{space 3} .0190578
{txt}{space 13}goodclass {c |}{col 24}{res}{space 2}-.0055243{col 36}{space 2} .0198615{col 47}{space 1}   -0.28{col 56}{space 3}0.782{col 64}{space 4}-.0456064{col 77}{space 3} .0345579
{txt}{space 14}midclass {c |}{col 24}{res}{space 2}-.0060296{col 36}{space 2} .0204162{col 47}{space 1}   -0.30{col 56}{space 3}0.769{col 64}{space 4}-.0472312{col 77}{space 3}  .035172
{txt}{space 5}sexratio_1964_pre {c |}{col 24}{res}{space 2}-.1106554{col 36}{space 2} .0316161{col 47}{space 1}   -3.50{col 56}{space 3}0.001{col 64}{space 4}-.1744594{col 77}{space 3}-.0468514
{txt}urbanpopratio_1964_pre {c |}{col 24}{res}{space 2} .0016256{col 36}{space 2} .0005404{col 47}{space 1}    3.01{col 56}{space 3}0.004{col 64}{space 4}  .000535{col 77}{space 3} .0027163
{txt}{space 4}qingrebellioncount {c |}{col 24}{res}{space 2}-.0005981{col 36}{space 2} .0006821{col 47}{space 1}   -0.88{col 56}{space 3}0.386{col 64}{space 4}-.0019747{col 77}{space 3} .0007785
{txt}{space 8}popdensity1964 {c |}{col 24}{res}{space 2}-7.21e-06{col 36}{space 2} .0000238{col 47}{space 1}   -0.30{col 56}{space 3}0.763{col 64}{space 4}-.0000552{col 77}{space 3} .0000408
{txt}{space 14}lnpergdp {c |}{col 24}{res}{space 2}-.0766772{col 36}{space 2} .0177065{col 47}{space 1}   -4.33{col 56}{space 3}0.000{col 64}{space 4}-.1124103{col 77}{space 3}-.0409442
{txt}{space 15}shouzai {c |}{col 24}{res}{space 2}-.0020855{col 36}{space 2} .0025074{col 47}{space 1}   -0.83{col 56}{space 3}0.410{col 64}{space 4}-.0071456{col 77}{space 3} .0029746
{txt}{space 16}extrap {c |}{col 24}{res}{space 2}-.0017353{col 36}{space 2} .0009338{col 47}{space 1}   -1.86{col 56}{space 3}0.070{col 64}{space 4}-.0036197{col 77}{space 3} .0001491
{txt}{space 19}pmd {c |}{col 24}{res}{space 2}-.0005915{col 36}{space 2} .0002043{col 47}{space 1}   -2.89{col 56}{space 3}0.006{col 64}{space 4}-.0010039{col 77}{space 3}-.0001791
{txt}{space 13}longitude {c |}{col 24}{res}{space 2}-.0073609{col 36}{space 2} .0015371{col 47}{space 1}   -4.79{col 56}{space 3}0.000{col 64}{space 4}-.0104628{col 77}{space 3} -.004259
{txt}{space 14}latitude {c |}{col 24}{res}{space 2}  .011626{col 36}{space 2} .0023922{col 47}{space 1}    4.86{col 56}{space 3}0.000{col 64}{space 4} .0067984{col 77}{space 3} .0164537
{txt}{space 14}resource {c |}{col 24}{res}{space 2} .0059351{col 36}{space 2} .0032472{col 47}{space 1}    1.83{col 56}{space 3}0.075{col 64}{space 4} -.000618{col 77}{space 3} .0124882
{txt}{space 16}colony {c |}{col 24}{res}{space 2}-.0009688{col 36}{space 2} .0054539{col 47}{space 1}   -0.18{col 56}{space 3}0.860{col 64}{space 4}-.0119752{col 77}{space 3} .0100375
{txt}{space 16}suit_m {c |}{col 24}{res}{space 2} .0030033{col 36}{space 2} .0051077{col 47}{space 1}    0.59{col 56}{space 3}0.560{col 64}{space 4}-.0073044{col 77}{space 3} .0133109
{txt}{space 5}distancetobeijing {c |}{col 24}{res}{space 2}  .000053{col 36}{space 2} .0000221{col 47}{space 1}    2.40{col 56}{space 3}0.021{col 64}{space 4} 8.44e-06{col 77}{space 3} .0000976
{txt}{space 11}riverlength {c |}{col 24}{res}{space 2}-.0000669{col 36}{space 2}  .000029{col 47}{space 1}   -2.30{col 56}{space 3}0.026{col 64}{space 4}-.0001255{col 77}{space 3}-8.33e-06
{txt}{space 5}log_accountlength {c |}{col 24}{res}{space 2}-.0121807{col 36}{space 2} .0044869{col 47}{space 1}   -2.71{col 56}{space 3}0.010{col 64}{space 4}-.0212355{col 77}{space 3}-.0031258
{txt}{space 13}_Iprov_15 {c |}{col 24}{res}{space 2} .0130128{col 36}{space 2} .0070167{col 47}{space 1}    1.85{col 56}{space 3}0.071{col 64}{space 4}-.0011474{col 77}{space 3} .0271731
{txt}{space 13}_Iprov_21 {c |}{col 24}{res}{space 2} .0435641{col 36}{space 2} .0142071{col 47}{space 1}    3.07{col 56}{space 3}0.004{col 64}{space 4}  .014893{col 77}{space 3} .0722352
{txt}{space 13}_Iprov_22 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_23 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_31 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_32 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_33 {c |}{col 24}{res}{space 2} .0846732{col 36}{space 2} .0209138{col 47}{space 1}    4.05{col 56}{space 3}0.000{col 64}{space 4} .0424675{col 77}{space 3} .1268789
{txt}{space 13}_Iprov_34 {c |}{col 24}{res}{space 2} .0585067{col 36}{space 2} .0114827{col 47}{space 1}    5.10{col 56}{space 3}0.000{col 64}{space 4} .0353336{col 77}{space 3} .0816798
{txt}{space 13}_Iprov_35 {c |}{col 24}{res}{space 2} .0414216{col 36}{space 2} .0216752{col 47}{space 1}    1.91{col 56}{space 3}0.063{col 64}{space 4}-.0023208{col 77}{space 3}  .085164
{txt}{space 13}_Iprov_36 {c |}{col 24}{res}{space 2} .0421068{col 36}{space 2} .0175837{col 47}{space 1}    2.39{col 56}{space 3}0.021{col 64}{space 4} .0066216{col 77}{space 3} .0775921
{txt}{space 13}_Iprov_37 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_41 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_42 {c |}{col 24}{res}{space 2} .0027569{col 36}{space 2} .0080486{col 47}{space 1}    0.34{col 56}{space 3}0.734{col 64}{space 4}-.0134859{col 77}{space 3} .0189996
{txt}{space 13}_Iprov_43 {c |}{col 24}{res}{space 2} .0074548{col 36}{space 2} .0110043{col 47}{space 1}    0.68{col 56}{space 3}0.502{col 64}{space 4}-.0147528{col 77}{space 3} .0296625
{txt}{space 13}_Iprov_44 {c |}{col 24}{res}{space 2} .0664417{col 36}{space 2} .0212494{col 47}{space 1}    3.13{col 56}{space 3}0.003{col 64}{space 4} .0235587{col 77}{space 3} .1093247
{txt}{space 13}_Iprov_45 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_50 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_51 {c |}{col 24}{res}{space 2}-.0754539{col 36}{space 2} .0227072{col 47}{space 1}   -3.32{col 56}{space 3}0.002{col 64}{space 4}-.1212788{col 77}{space 3}-.0296289
{txt}{space 13}_Iprov_52 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_53 {c |}{col 24}{res}{space 2}-.0531831{col 36}{space 2} .0176941{col 47}{space 1}   -3.01{col 56}{space 3}0.004{col 64}{space 4}-.0888913{col 77}{space 3}-.0174749
{txt}{space 13}_Iprov_61 {c |}{col 24}{res}{space 2}-.0342527{col 36}{space 2} .0118717{col 47}{space 1}   -2.89{col 56}{space 3}0.006{col 64}{space 4}-.0582108{col 77}{space 3}-.0102946
{txt}{space 13}_Iprov_62 {c |}{col 24}{res}{space 2}-.0864477{col 36}{space 2} .0255699{col 47}{space 1}   -3.38{col 56}{space 3}0.002{col 64}{space 4}-.1380499{col 77}{space 3}-.0348455
{txt}{space 13}_Iprov_64 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_65 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 17}_cons {c |}{col 24}{res}{space 2} 1.127706{col 36}{space 2} .2639263{col 47}{space 1}    4.27{col 56}{space 3}0.000{col 64}{space 4} .5950806{col 77}{space 3}  1.66033
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. estimates store table2_8
{txt}
{com}. estadd ysumm

{txt}added scalars:
                e(ysd) =  {res}.09745334
               {txt}e(ymax) =  {res}1
               {txt}e(ymin) =  {res}0
              {txt}e(ymean) =  {res}.00958248
{txt}
{com}. 
. esttab table2_1 table2_2 table2_3 table2_4 table2_5 table2_6 table2_7 table2_8 using table2.tex, ///
> collabels(none)  cells(b(star fmt(3)) se(par)) staraux star(* 0.10 ** 0.05 *** 0.01) replace ///
> stats(N r2, fmt(0 3)  labels(`"N"' `"R2"')) drop(_Iprov*) ///
> title(Table 2: OLS Estimates of the Effects of Cultural Revolution Violence on Political Attitudes and Behavior) 
{res}{txt}(note: file table2.tex not found)
(output written to {browse  `"table2.tex"'})

{com}. 
. *\ Standardized Coefficients, to be compared with Nunn and Wantchekon 2011*
. 
. preserve 
{txt}
{com}. 
. center trustcentralhead CRdeath_pop_prefecture, inplace standardize
{txt}(modified variables: trustcentralhead CRdeath_pop_prefecture)

{com}. 
. local individual_controls "male age agesquare han goodclass midclass"
{txt}
{com}. local prefectural_controls "sexratio_1964_pre urbanpopratio_1964_pre qingrebellion popdensity1964 lnpergdp shouzai extrap pmd longitude latitude resource colony suit_m distancetobeijing riverlength"
{txt}
{com}. local minimum_controls "log_accountlength i.prov"
{txt}
{com}. 
. xi:reg trustcentralhead CRdeath_pop_prefecture `minimum_controls' if local==1,cl(city_id)
{txt}i.prov{col 19}_Iprov_13-65{col 39}(naturally coded; _Iprov_13 omitted)

Linear regression                               Number of obs     = {res}     1,895
                                                {txt}{help j_robustsingular:F(21, 56) }        =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.0879
                                                {txt}Root MSE          =    {res} .95939

{txt}{ralign 88:(Std. Err. adjusted for {res:57} clusters in city_id)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}      trustcentralhead{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
CRdeath_pop_prefecture {c |}{col 24}{res}{space 2}-.1187605{col 36}{space 2} .0418873{col 47}{space 1}   -2.84{col 56}{space 3}0.006{col 64}{space 4}-.2026709{col 77}{space 3}  -.03485
{txt}{space 5}log_accountlength {c |}{col 24}{res}{space 2}-.0994106{col 36}{space 2} .1178468{col 47}{space 1}   -0.84{col 56}{space 3}0.403{col 64}{space 4}-.3354861{col 77}{space 3} .1366648
{txt}{space 13}_Iprov_15 {c |}{col 24}{res}{space 2} .1730163{col 36}{space 2} .1294286{col 47}{space 1}    1.34{col 56}{space 3}0.187{col 64}{space 4}-.0862603{col 77}{space 3} .4322929
{txt}{space 13}_Iprov_21 {c |}{col 24}{res}{space 2}-.5990862{col 36}{space 2} .1941083{col 47}{space 1}   -3.09{col 56}{space 3}0.003{col 64}{space 4}-.9879318{col 77}{space 3}-.2102405
{txt}{space 13}_Iprov_22 {c |}{col 24}{res}{space 2} .3596068{col 36}{space 2} .0438245{col 47}{space 1}    8.21{col 56}{space 3}0.000{col 64}{space 4} .2718158{col 77}{space 3} .4473978
{txt}{space 13}_Iprov_23 {c |}{col 24}{res}{space 2} .0306733{col 36}{space 2} .0988815{col 47}{space 1}    0.31{col 56}{space 3}0.758{col 64}{space 4}-.1674101{col 77}{space 3} .2287566
{txt}{space 13}_Iprov_31 {c |}{col 24}{res}{space 2}-.6241168{col 36}{space 2} .0397018{col 47}{space 1}  -15.72{col 56}{space 3}0.000{col 64}{space 4} -.703649{col 77}{space 3}-.5445846
{txt}{space 13}_Iprov_32 {c |}{col 24}{res}{space 2}-.4710011{col 36}{space 2}  .155315{col 47}{space 1}   -3.03{col 56}{space 3}0.004{col 64}{space 4}-.7821344{col 77}{space 3}-.1598677
{txt}{space 13}_Iprov_33 {c |}{col 24}{res}{space 2}-.6302639{col 36}{space 2} .1400048{col 47}{space 1}   -4.50{col 56}{space 3}0.000{col 64}{space 4}-.9107273{col 77}{space 3}-.3498006
{txt}{space 13}_Iprov_34 {c |}{col 24}{res}{space 2} .2972004{col 36}{space 2} .1131616{col 47}{space 1}    2.63{col 56}{space 3}0.011{col 64}{space 4} .0705105{col 77}{space 3} .5238903
{txt}{space 13}_Iprov_35 {c |}{col 24}{res}{space 2}-.7373931{col 36}{space 2} .2231185{col 47}{space 1}   -3.30{col 56}{space 3}0.002{col 64}{space 4}-1.184353{col 77}{space 3}-.2904331
{txt}{space 13}_Iprov_36 {c |}{col 24}{res}{space 2}-.2465122{col 36}{space 2} .3494185{col 47}{space 1}   -0.71{col 56}{space 3}0.483{col 64}{space 4}-.9464816{col 77}{space 3} .4534571
{txt}{space 13}_Iprov_37 {c |}{col 24}{res}{space 2}-.1316499{col 36}{space 2} .1078985{col 47}{space 1}   -1.22{col 56}{space 3}0.228{col 64}{space 4}-.3477966{col 77}{space 3} .0844967
{txt}{space 13}_Iprov_41 {c |}{col 24}{res}{space 2}-.0173318{col 36}{space 2} .0903034{col 47}{space 1}   -0.19{col 56}{space 3}0.848{col 64}{space 4}-.1982312{col 77}{space 3} .1635676
{txt}{space 13}_Iprov_42 {c |}{col 24}{res}{space 2} .1184419{col 36}{space 2} .2014929{col 47}{space 1}    0.59{col 56}{space 3}0.559{col 64}{space 4} -.285197{col 77}{space 3} .5220808
{txt}{space 13}_Iprov_43 {c |}{col 24}{res}{space 2}-.0319306{col 36}{space 2} .0654283{col 47}{space 1}   -0.49{col 56}{space 3}0.627{col 64}{space 4}-.1629992{col 77}{space 3}  .099138
{txt}{space 13}_Iprov_44 {c |}{col 24}{res}{space 2}-.0964035{col 36}{space 2} .2518355{col 47}{space 1}   -0.38{col 56}{space 3}0.703{col 64}{space 4}-.6008906{col 77}{space 3} .4080836
{txt}{space 13}_Iprov_45 {c |}{col 24}{res}{space 2}-.2300994{col 36}{space 2} .1544442{col 47}{space 1}   -1.49{col 56}{space 3}0.142{col 64}{space 4}-.5394884{col 77}{space 3} .0792896
{txt}{space 13}_Iprov_50 {c |}{col 24}{res}{space 2}-.4489024{col 36}{space 2} .0404802{col 47}{space 1}  -11.09{col 56}{space 3}0.000{col 64}{space 4}-.5299939{col 77}{space 3}-.3678109
{txt}{space 13}_Iprov_51 {c |}{col 24}{res}{space 2} .1799152{col 36}{space 2} .0557278{col 47}{space 1}    3.23{col 56}{space 3}0.002{col 64}{space 4}  .068279{col 77}{space 3} .2915515
{txt}{space 13}_Iprov_52 {c |}{col 24}{res}{space 2} .2925846{col 36}{space 2} .0371931{col 47}{space 1}    7.87{col 56}{space 3}0.000{col 64}{space 4} .2180778{col 77}{space 3} .3670914
{txt}{space 13}_Iprov_53 {c |}{col 24}{res}{space 2}-.0396963{col 36}{space 2} .0687222{col 47}{space 1}   -0.58{col 56}{space 3}0.566{col 64}{space 4}-.1773635{col 77}{space 3} .0979708
{txt}{space 13}_Iprov_61 {c |}{col 24}{res}{space 2}-.0878081{col 36}{space 2} .1094929{col 47}{space 1}   -0.80{col 56}{space 3}0.426{col 64}{space 4}-.3071487{col 77}{space 3} .1315326
{txt}{space 13}_Iprov_62 {c |}{col 24}{res}{space 2}-.0795259{col 36}{space 2}  .057848{col 47}{space 1}   -1.37{col 56}{space 3}0.175{col 64}{space 4}-.1954093{col 77}{space 3} .0363575
{txt}{space 13}_Iprov_64 {c |}{col 24}{res}{space 2} .1739826{col 36}{space 2} .0562508{col 47}{space 1}    3.09{col 56}{space 3}0.003{col 64}{space 4} .0612987{col 77}{space 3} .2866665
{txt}{space 13}_Iprov_65 {c |}{col 24}{res}{space 2} .3757746{col 36}{space 2} .0813556{col 47}{space 1}    4.62{col 56}{space 3}0.000{col 64}{space 4} .2127997{col 77}{space 3} .5387495
{txt}{space 17}_cons {c |}{col 24}{res}{space 2} .9286812{col 36}{space 2}  1.01111{col 47}{space 1}    0.92{col 56}{space 3}0.362{col 64}{space 4}-1.096815{col 77}{space 3} 2.954177
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. estimates store table2standard_1
{txt}
{com}. 
. xi:reg trustcentralhead CRdeath_pop_prefecture `individual_controls' `prefectural_controls' `minimum_controls' if local==1,cl(city_id)
{txt}i.prov{col 19}_Iprov_13-65{col 39}(naturally coded; _Iprov_13 omitted)
note: _Iprov_22 omitted because of collinearity
note: _Iprov_31 omitted because of collinearity
note: _Iprov_32 omitted because of collinearity
note: _Iprov_37 omitted because of collinearity
note: _Iprov_41 omitted because of collinearity
note: _Iprov_45 omitted because of collinearity
note: _Iprov_50 omitted because of collinearity
note: _Iprov_51 omitted because of collinearity
note: _Iprov_52 omitted because of collinearity
note: _Iprov_64 omitted because of collinearity
note: _Iprov_65 omitted because of collinearity

Linear regression                               Number of obs     = {res}     1,296
                                                {txt}F(36, 42)         =  {res}  3860.59
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1214
                                                {txt}Root MSE          =    {res} .95664

{txt}{ralign 88:(Std. Err. adjusted for {res:43} clusters in city_id)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}      trustcentralhead{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
CRdeath_pop_prefecture {c |}{col 24}{res}{space 2}-.3329718{col 36}{space 2} .0480203{col 47}{space 1}   -6.93{col 56}{space 3}0.000{col 64}{space 4}-.4298806{col 77}{space 3}-.2360629
{txt}{space 18}male {c |}{col 24}{res}{space 2}-.0498488{col 36}{space 2} .0589439{col 47}{space 1}   -0.85{col 56}{space 3}0.403{col 64}{space 4}-.1688025{col 77}{space 3} .0691048
{txt}{space 19}age {c |}{col 24}{res}{space 2} .0043766{col 36}{space 2} .0103085{col 47}{space 1}    0.42{col 56}{space 3}0.673{col 64}{space 4}-.0164268{col 77}{space 3}   .02518
{txt}{space 13}agesquare {c |}{col 24}{res}{space 2} .0000276{col 36}{space 2}  .000097{col 47}{space 1}    0.28{col 56}{space 3}0.777{col 64}{space 4}-.0001682{col 77}{space 3} .0002234
{txt}{space 19}han {c |}{col 24}{res}{space 2} .0001151{col 36}{space 2} .1026805{col 47}{space 1}    0.00{col 56}{space 3}0.999{col 64}{space 4}-.2071024{col 77}{space 3} .2073327
{txt}{space 13}goodclass {c |}{col 24}{res}{space 2} .0466157{col 36}{space 2} .1073209{col 47}{space 1}    0.43{col 56}{space 3}0.666{col 64}{space 4}-.1699665{col 77}{space 3} .2631979
{txt}{space 14}midclass {c |}{col 24}{res}{space 2} .0792925{col 36}{space 2} .1209844{col 47}{space 1}    0.66{col 56}{space 3}0.516{col 64}{space 4}-.1648638{col 77}{space 3} .3234488
{txt}{space 5}sexratio_1964_pre {c |}{col 24}{res}{space 2}-3.494207{col 36}{space 2} .7741966{col 47}{space 1}   -4.51{col 56}{space 3}0.000{col 64}{space 4}-5.056599{col 77}{space 3}-1.931815
{txt}urbanpopratio_1964_pre {c |}{col 24}{res}{space 2} .0763944{col 36}{space 2}    .0126{col 47}{space 1}    6.06{col 56}{space 3}0.000{col 64}{space 4} .0509666{col 77}{space 3} .1018222
{txt}{space 4}qingrebellioncount {c |}{col 24}{res}{space 2}  .047795{col 36}{space 2} .0149297{col 47}{space 1}    3.20{col 56}{space 3}0.003{col 64}{space 4} .0176656{col 77}{space 3} .0779244
{txt}{space 8}popdensity1964 {c |}{col 24}{res}{space 2} .0010476{col 36}{space 2}  .000383{col 47}{space 1}    2.74{col 56}{space 3}0.009{col 64}{space 4} .0002747{col 77}{space 3} .0018206
{txt}{space 14}lnpergdp {c |}{col 24}{res}{space 2}-1.515089{col 36}{space 2} .4898461{col 47}{space 1}   -3.09{col 56}{space 3}0.004{col 64}{space 4}-2.503638{col 77}{space 3}-.5265395
{txt}{space 15}shouzai {c |}{col 24}{res}{space 2}-.1649932{col 36}{space 2} .0510038{col 47}{space 1}   -3.23{col 56}{space 3}0.002{col 64}{space 4}-.2679229{col 77}{space 3}-.0620634
{txt}{space 16}extrap {c |}{col 24}{res}{space 2} .3958969{col 36}{space 2} .0941631{col 47}{space 1}    4.20{col 56}{space 3}0.000{col 64}{space 4} .2058681{col 77}{space 3} .5859257
{txt}{space 19}pmd {c |}{col 24}{res}{space 2} .0535216{col 36}{space 2} .0116568{col 47}{space 1}    4.59{col 56}{space 3}0.000{col 64}{space 4} .0299972{col 77}{space 3}  .077046
{txt}{space 13}longitude {c |}{col 24}{res}{space 2}-.1287628{col 36}{space 2} .0273382{col 47}{space 1}   -4.71{col 56}{space 3}0.000{col 64}{space 4}-.1839335{col 77}{space 3}-.0735921
{txt}{space 14}latitude {c |}{col 24}{res}{space 2} .0049298{col 36}{space 2}  .045509{col 47}{space 1}    0.11{col 56}{space 3}0.914{col 64}{space 4}-.0869111{col 77}{space 3} .0967708
{txt}{space 14}resource {c |}{col 24}{res}{space 2} .1558287{col 36}{space 2} .0896431{col 47}{space 1}    1.74{col 56}{space 3}0.089{col 64}{space 4}-.0250784{col 77}{space 3} .3367359
{txt}{space 16}colony {c |}{col 24}{res}{space 2} -.639427{col 36}{space 2}  .162937{col 47}{space 1}   -3.92{col 56}{space 3}0.000{col 64}{space 4}-.9682471{col 77}{space 3}-.3106069
{txt}{space 16}suit_m {c |}{col 24}{res}{space 2} .2800012{col 36}{space 2} .1102817{col 47}{space 1}    2.54{col 56}{space 3}0.015{col 64}{space 4} .0574438{col 77}{space 3} .5025587
{txt}{space 5}distancetobeijing {c |}{col 24}{res}{space 2}-.0013238{col 36}{space 2} .0005342{col 47}{space 1}   -2.48{col 56}{space 3}0.017{col 64}{space 4}-.0024019{col 77}{space 3}-.0002457
{txt}{space 11}riverlength {c |}{col 24}{res}{space 2} .0043562{col 36}{space 2} .0007314{col 47}{space 1}    5.96{col 56}{space 3}0.000{col 64}{space 4} .0028802{col 77}{space 3} .0058322
{txt}{space 5}log_accountlength {c |}{col 24}{res}{space 2} .1106281{col 36}{space 2} .0700035{col 47}{space 1}    1.58{col 56}{space 3}0.122{col 64}{space 4}-.0306447{col 77}{space 3} .2519008
{txt}{space 13}_Iprov_15 {c |}{col 24}{res}{space 2} 3.082974{col 36}{space 2} .5434296{col 47}{space 1}    5.67{col 56}{space 3}0.000{col 64}{space 4} 1.986288{col 77}{space 3} 4.179659
{txt}{space 13}_Iprov_21 {c |}{col 24}{res}{space 2}-.2968304{col 36}{space 2}   .35202{col 47}{space 1}   -0.84{col 56}{space 3}0.404{col 64}{space 4}-1.007235{col 77}{space 3} .4135746
{txt}{space 13}_Iprov_22 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_23 {c |}{col 24}{res}{space 2} 2.368767{col 36}{space 2} .6084378{col 47}{space 1}    3.89{col 56}{space 3}0.000{col 64}{space 4}  1.14089{col 77}{space 3} 3.596644
{txt}{space 13}_Iprov_31 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_32 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_33 {c |}{col 24}{res}{space 2} 2.336228{col 36}{space 2} .6541554{col 47}{space 1}    3.57{col 56}{space 3}0.001{col 64}{space 4} 1.016089{col 77}{space 3} 3.656367
{txt}{space 13}_Iprov_34 {c |}{col 24}{res}{space 2} 2.213941{col 36}{space 2} .4208382{col 47}{space 1}    5.26{col 56}{space 3}0.000{col 64}{space 4} 1.364655{col 77}{space 3} 3.063227
{txt}{space 13}_Iprov_35 {c |}{col 24}{res}{space 2}   .37981{col 36}{space 2} .4422561{col 47}{space 1}    0.86{col 56}{space 3}0.395{col 64}{space 4}-.5126989{col 77}{space 3} 1.272319
{txt}{space 13}_Iprov_36 {c |}{col 24}{res}{space 2}-.6923145{col 36}{space 2} .4097044{col 47}{space 1}   -1.69{col 56}{space 3}0.098{col 64}{space 4}-1.519132{col 77}{space 3} .1345025
{txt}{space 13}_Iprov_37 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_41 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_42 {c |}{col 24}{res}{space 2} 1.456675{col 36}{space 2}  .343125{col 47}{space 1}    4.25{col 56}{space 3}0.000{col 64}{space 4}  .764221{col 77}{space 3}  2.14913
{txt}{space 13}_Iprov_43 {c |}{col 24}{res}{space 2} .0146602{col 36}{space 2} .2263404{col 47}{space 1}    0.06{col 56}{space 3}0.949{col 64}{space 4}-.4421134{col 77}{space 3} .4714337
{txt}{space 13}_Iprov_44 {c |}{col 24}{res}{space 2} 1.652564{col 36}{space 2} .6224168{col 47}{space 1}    2.66{col 56}{space 3}0.011{col 64}{space 4} .3964759{col 77}{space 3} 2.908652
{txt}{space 13}_Iprov_45 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_50 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_51 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_52 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_53 {c |}{col 24}{res}{space 2}-.5417782{col 36}{space 2} .2416239{col 47}{space 1}   -2.24{col 56}{space 3}0.030{col 64}{space 4}-1.029395{col 77}{space 3}-.0541613
{txt}{space 13}_Iprov_61 {c |}{col 24}{res}{space 2} .0479826{col 36}{space 2} .1022887{col 47}{space 1}    0.47{col 56}{space 3}0.641{col 64}{space 4}-.1584444{col 77}{space 3} .2544095
{txt}{space 13}_Iprov_62 {c |}{col 24}{res}{space 2}-1.498903{col 36}{space 2} .4271728{col 47}{space 1}   -3.51{col 56}{space 3}0.001{col 64}{space 4}-2.360972{col 77}{space 3}-.6368329
{txt}{space 13}_Iprov_64 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_65 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 17}_cons {c |}{col 24}{res}{space 2} 22.56268{col 36}{space 2} 5.828455{col 47}{space 1}    3.87{col 56}{space 3}0.000{col 64}{space 4} 10.80038{col 77}{space 3} 34.32498
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. estimates store table2standard_2
{txt}
{com}. 
. esttab table2standard_1 table2standard_2 using table2standard.csv, ///
> collabels(none)  cells(b(star fmt(3)) se(par)) staraux star(* 0.10 ** 0.05 *** 0.01)  replace ///
> stats(N r2, fmt(0 3)  labels(`"N"' `"R2"')) drop(_Iprov*) title(Standardized Coefficients) 
{res}{txt}(note: file table2standard.csv not found)
(output written to {browse  `"table2standard.csv"'})

{com}. 
. restore
{txt}
{com}. 
{txt}end of do-file

{com}. do "/var/folders/h7/yy_9_pys1zvgh1bl431b90_m0000gn/T//SD21778.000000"
{txt}
{com}. 
. **********************
. *Table 3*
. **********************
. 
. *\ Second Stage*
. 
. local individual_controls "male age agesquare han goodclass midclass"
{txt}
{com}. local prefectural_controls "sexratio_1964_pre urbanpopratio_1964_pre qingrebellion popdensity1964 lnpergdp shouzai extrap pmd longitude latitude resource colony suit_m distancetobeijing riverlength"
{txt}
{com}. local minimum_controls "log_accountlength i.prov"
{txt}
{com}. 
. xi:ivregress 2sls trustcentralhead (CRdeath_pop_prefecture=log_meandistancetosulphur) `individual_controls' `prefectural_controls' `minimum_controls'  if local==1, cl(city_id)
{txt}i.prov{col 19}_Iprov_13-65{col 39}(naturally coded; _Iprov_13 omitted)
{res}{txt}note: _Iprov_31 omitted because of collinearity
note: _Iprov_32 omitted because of collinearity
note: _Iprov_37 omitted because of collinearity
note: _Iprov_50 omitted because of collinearity
note: _Iprov_51 omitted because of collinearity
note: _Iprov_52 omitted because of collinearity
note: _Iprov_53 omitted because of collinearity
note: _Iprov_61 omitted because of collinearity
note: _Iprov_62 omitted because of collinearity
note: _Iprov_64 omitted because of collinearity
note: _Iprov_65 omitted because of collinearity
{res}
{txt}{col 1}Instrumental variables (2SLS) regression{col 51}Number of obs{col 67}= {res}     1,296
{txt}{col 1}{col 51}Wald chi2({res}36{txt}){col 67}= {res}  63433.16
{txt}{col 1}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}{col 1}{col 51}R-squared{col 67}= {res}    0.1205
{txt}{col 51}Root MSE{col 67}=    {res} .74275

{txt}{ralign 88:(Std. Err. adjusted for {res:43} clusters in city_id)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}      trustcentralhead{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      z{col 56}   P>|z|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
CRdeath_pop_prefecture {c |}{col 24}{res}{space 2}-.3437561{col 36}{space 2} .0503007{col 47}{space 1}   -6.83{col 56}{space 3}0.000{col 64}{space 4}-.4423437{col 77}{space 3}-.2451685
{txt}{space 18}male {c |}{col 24}{res}{space 2}-.0371385{col 36}{space 2} .0450984{col 47}{space 1}   -0.82{col 56}{space 3}0.410{col 64}{space 4}-.1255298{col 77}{space 3} .0512527
{txt}{space 19}age {c |}{col 24}{res}{space 2} .0028474{col 36}{space 2} .0079018{col 47}{space 1}    0.36{col 56}{space 3}0.719{col 64}{space 4}-.0126398{col 77}{space 3} .0183346
{txt}{space 13}agesquare {c |}{col 24}{res}{space 2} .0000271{col 36}{space 2} .0000744{col 47}{space 1}    0.36{col 56}{space 3}0.716{col 64}{space 4}-.0001189{col 77}{space 3}  .000173
{txt}{space 19}han {c |}{col 24}{res}{space 2} .0045423{col 36}{space 2}  .078213{col 47}{space 1}    0.06{col 56}{space 3}0.954{col 64}{space 4}-.1487523{col 77}{space 3} .1578369
{txt}{space 13}goodclass {c |}{col 24}{res}{space 2} .0414502{col 36}{space 2} .0823024{col 47}{space 1}    0.50{col 56}{space 3}0.615{col 64}{space 4}-.1198595{col 77}{space 3} .2027599
{txt}{space 14}midclass {c |}{col 24}{res}{space 2} .0652733{col 36}{space 2} .0927975{col 47}{space 1}    0.70{col 56}{space 3}0.482{col 64}{space 4}-.1166065{col 77}{space 3}  .247153
{txt}{space 5}sexratio_1964_pre {c |}{col 24}{res}{space 2} -3.44536{col 36}{space 2} .5056014{col 47}{space 1}   -6.81{col 56}{space 3}0.000{col 64}{space 4} -4.43632{col 77}{space 3}-2.454399
{txt}urbanpopratio_1964_pre {c |}{col 24}{res}{space 2} .0669676{col 36}{space 2} .0088613{col 47}{space 1}    7.56{col 56}{space 3}0.000{col 64}{space 4} .0495999{col 77}{space 3} .0843353
{txt}{space 4}qingrebellioncount {c |}{col 24}{res}{space 2} .0437977{col 36}{space 2} .0107197{col 47}{space 1}    4.09{col 56}{space 3}0.000{col 64}{space 4} .0227875{col 77}{space 3}  .064808
{txt}{space 8}popdensity1964 {c |}{col 24}{res}{space 2}  .000893{col 36}{space 2} .0003282{col 47}{space 1}    2.72{col 56}{space 3}0.007{col 64}{space 4} .0002497{col 77}{space 3} .0015363
{txt}{space 14}lnpergdp {c |}{col 24}{res}{space 2}-9.697843{col 36}{space 2} 2.726156{col 47}{space 1}   -3.56{col 56}{space 3}0.000{col 64}{space 4}-15.04101{col 77}{space 3}-4.354675
{txt}{space 15}shouzai {c |}{col 24}{res}{space 2} .2289255{col 36}{space 2} .0741525{col 47}{space 1}    3.09{col 56}{space 3}0.002{col 64}{space 4} .0835892{col 77}{space 3} .3742618
{txt}{space 16}extrap {c |}{col 24}{res}{space 2} .2467141{col 36}{space 2} .0513094{col 47}{space 1}    4.81{col 56}{space 3}0.000{col 64}{space 4} .1461495{col 77}{space 3} .3472788
{txt}{space 19}pmd {c |}{col 24}{res}{space 2} .1234021{col 36}{space 2}  .032264{col 47}{space 1}    3.82{col 56}{space 3}0.000{col 64}{space 4} .0601657{col 77}{space 3} .1866384
{txt}{space 13}longitude {c |}{col 24}{res}{space 2}-.1354015{col 36}{space 2} .0238951{col 47}{space 1}   -5.67{col 56}{space 3}0.000{col 64}{space 4}-.1822351{col 77}{space 3}-.0885678
{txt}{space 14}latitude {c |}{col 24}{res}{space 2} .0187665{col 36}{space 2} .0361342{col 47}{space 1}    0.52{col 56}{space 3}0.604{col 64}{space 4}-.0520552{col 77}{space 3} .0895881
{txt}{space 14}resource {c |}{col 24}{res}{space 2} .1748626{col 36}{space 2} .0745914{col 47}{space 1}    2.34{col 56}{space 3}0.019{col 64}{space 4} .0286662{col 77}{space 3} .3210591
{txt}{space 16}colony {c |}{col 24}{res}{space 2}-.5649976{col 36}{space 2} .1162154{col 47}{space 1}   -4.86{col 56}{space 3}0.000{col 64}{space 4}-.7927756{col 77}{space 3}-.3372195
{txt}{space 16}suit_m {c |}{col 24}{res}{space 2} .2797592{col 36}{space 2} .0908219{col 47}{space 1}    3.08{col 56}{space 3}0.002{col 64}{space 4} .1017516{col 77}{space 3} .4577669
{txt}{space 5}distancetobeijing {c |}{col 24}{res}{space 2} -.001303{col 36}{space 2} .0003796{col 47}{space 1}   -3.43{col 56}{space 3}0.001{col 64}{space 4} -.002047{col 77}{space 3}-.0005589
{txt}{space 11}riverlength {c |}{col 24}{res}{space 2} .0034538{col 36}{space 2} .0005616{col 47}{space 1}    6.15{col 56}{space 3}0.000{col 64}{space 4} .0023531{col 77}{space 3} .0045544
{txt}{space 5}log_accountlength {c |}{col 24}{res}{space 2} .0832271{col 36}{space 2} .0553877{col 47}{space 1}    1.50{col 56}{space 3}0.133{col 64}{space 4}-.0253308{col 77}{space 3}  .191785
{txt}{space 13}_Iprov_15 {c |}{col 24}{res}{space 2} 4.987252{col 36}{space 2} .9146591{col 47}{space 1}    5.45{col 56}{space 3}0.000{col 64}{space 4} 3.194554{col 77}{space 3} 6.779951
{txt}{space 13}_Iprov_21 {c |}{col 24}{res}{space 2} 10.94526{col 36}{space 2} 3.075175{col 47}{space 1}    3.56{col 56}{space 3}0.000{col 64}{space 4} 4.918025{col 77}{space 3} 16.97249
{txt}{space 13}_Iprov_22 {c |}{col 24}{res}{space 2} 5.329427{col 36}{space 2} 1.295092{col 47}{space 1}    4.12{col 56}{space 3}0.000{col 64}{space 4} 2.791094{col 77}{space 3}  7.86776
{txt}{space 13}_Iprov_23 {c |}{col 24}{res}{space 2} 12.65211{col 36}{space 2} 3.252558{col 47}{space 1}    3.89{col 56}{space 3}0.000{col 64}{space 4} 6.277217{col 77}{space 3} 19.02701
{txt}{space 13}_Iprov_31 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_32 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_33 {c |}{col 24}{res}{space 2} 2.151427{col 36}{space 2} .4369288{col 47}{space 1}    4.92{col 56}{space 3}0.000{col 64}{space 4} 1.295062{col 77}{space 3} 3.007792
{txt}{space 13}_Iprov_34 {c |}{col 24}{res}{space 2}-.1072043{col 36}{space 2} .3880297{col 47}{space 1}   -0.28{col 56}{space 3}0.782{col 64}{space 4}-.8677284{col 77}{space 3} .6533199
{txt}{space 13}_Iprov_35 {c |}{col 24}{res}{space 2}  3.11951{col 36}{space 2} .9065997{col 47}{space 1}    3.44{col 56}{space 3}0.001{col 64}{space 4} 1.342607{col 77}{space 3} 4.896413
{txt}{space 13}_Iprov_36 {c |}{col 24}{res}{space 2}-.5773632{col 36}{space 2} .2838681{col 47}{space 1}   -2.03{col 56}{space 3}0.042{col 64}{space 4}-1.133734{col 77}{space 3}-.0209921
{txt}{space 13}_Iprov_37 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_41 {c |}{col 24}{res}{space 2}-8.646269{col 36}{space 2} 2.505393{col 47}{space 1}   -3.45{col 56}{space 3}0.001{col 64}{space 4}-13.55675{col 77}{space 3}-3.735789
{txt}{space 13}_Iprov_42 {c |}{col 24}{res}{space 2} 1.940941{col 36}{space 2} .4546948{col 47}{space 1}    4.27{col 56}{space 3}0.000{col 64}{space 4} 1.049756{col 77}{space 3} 2.832127
{txt}{space 13}_Iprov_43 {c |}{col 24}{res}{space 2}-1.228651{col 36}{space 2} .3881878{col 47}{space 1}   -3.17{col 56}{space 3}0.002{col 64}{space 4}-1.989485{col 77}{space 3}-.4678165
{txt}{space 13}_Iprov_44 {c |}{col 24}{res}{space 2} 5.004551{col 36}{space 2} 1.303528{col 47}{space 1}    3.84{col 56}{space 3}0.000{col 64}{space 4} 2.449683{col 77}{space 3} 7.559418
{txt}{space 13}_Iprov_45 {c |}{col 24}{res}{space 2}-8.107477{col 36}{space 2} 2.461547{col 47}{space 1}   -3.29{col 56}{space 3}0.001{col 64}{space 4}-12.93202{col 77}{space 3}-3.282933
{txt}{space 13}_Iprov_50 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_51 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_52 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_53 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_61 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_62 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_64 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_65 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 17}_cons {c |}{col 24}{res}{space 2} 62.47745{col 36}{space 2}  14.1187{col 47}{space 1}    4.43{col 56}{space 3}0.000{col 64}{space 4} 34.80531{col 77}{space 3}  90.1496
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 15 82}Instrumented:{space 2}CRdeath_pop_prefecture{p_end}
{p 0 15 82}Instruments:{space 3}male age agesquare han goodclass midclass sexratio_1964_pre urbanpopratio_1964_pre qingrebellioncount popdensity1964 lnpergdp shouzai extrap pmd longitude latitude resource colony suit_m distancetobeijing riverlength log_accountlength _Iprov_15 _Iprov_21 _Iprov_22 _Iprov_23 _Iprov_33 _Iprov_34 _Iprov_35 _Iprov_36 _Iprov_41 _Iprov_42 _Iprov_43 _Iprov_44 _Iprov_45 log_meandistancetosulphur{p_end}

{com}. estimates store table3_1
{txt}
{com}. estadd ysumm

{txt}added scalars:
                e(ysd) =  {res}.79230737
               {txt}e(ymax) =  {res}4
               {txt}e(ymin) =  {res}1
              {txt}e(ymean) =  {res}3.3263889
{txt}
{com}. 
. xi:ivregress 2sls lackingdemocracy (CRdeath_pop_prefecture=log_meandistancetosulphur) `individual_controls' `prefectural_controls' `minimum_controls'  if local==1, cl(city_id)
{txt}i.prov{col 19}_Iprov_13-65{col 39}(naturally coded; _Iprov_13 omitted)
{res}{txt}note: _Iprov_31 omitted because of collinearity
note: _Iprov_32 omitted because of collinearity
note: _Iprov_37 omitted because of collinearity
note: _Iprov_50 omitted because of collinearity
note: _Iprov_51 omitted because of collinearity
note: _Iprov_52 omitted because of collinearity
note: _Iprov_53 omitted because of collinearity
note: _Iprov_61 omitted because of collinearity
note: _Iprov_62 omitted because of collinearity
note: _Iprov_64 omitted because of collinearity
note: _Iprov_65 omitted because of collinearity
{res}
{txt}{col 1}Instrumental variables (2SLS) regression{col 51}Number of obs{col 67}= {res}     1,201
{txt}{col 1}{col 51}Wald chi2({res}36{txt}){col 67}= {res}  33241.04
{txt}{col 1}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}{col 1}{col 51}R-squared{col 67}= {res}    0.1188
{txt}{col 51}Root MSE{col 67}=    {res} 2.6127

{txt}{ralign 88:(Std. Err. adjusted for {res:43} clusters in city_id)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}      lackingdemocracy{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      z{col 56}   P>|z|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
CRdeath_pop_prefecture {c |}{col 24}{res}{space 2} 1.261387{col 36}{space 2} .2328126{col 47}{space 1}    5.42{col 56}{space 3}0.000{col 64}{space 4} .8050831{col 77}{space 3} 1.717692
{txt}{space 18}male {c |}{col 24}{res}{space 2} .1181116{col 36}{space 2} .1768959{col 47}{space 1}    0.67{col 56}{space 3}0.504{col 64}{space 4}-.2285981{col 77}{space 3} .4648212
{txt}{space 19}age {c |}{col 24}{res}{space 2}-.0516355{col 36}{space 2} .0257175{col 47}{space 1}   -2.01{col 56}{space 3}0.045{col 64}{space 4}-.1020409{col 77}{space 3}  -.00123
{txt}{space 13}agesquare {c |}{col 24}{res}{space 2} .0003413{col 36}{space 2} .0002462{col 47}{space 1}    1.39{col 56}{space 3}0.166{col 64}{space 4}-.0001413{col 77}{space 3} .0008239
{txt}{space 19}han {c |}{col 24}{res}{space 2}-.1875433{col 36}{space 2} .3153563{col 47}{space 1}   -0.59{col 56}{space 3}0.552{col 64}{space 4}-.8056303{col 77}{space 3} .4305437
{txt}{space 13}goodclass {c |}{col 24}{res}{space 2}-.1244412{col 36}{space 2} .4432909{col 47}{space 1}   -0.28{col 56}{space 3}0.779{col 64}{space 4}-.9932755{col 77}{space 3} .7443931
{txt}{space 14}midclass {c |}{col 24}{res}{space 2}-.2507665{col 36}{space 2} .4552324{col 47}{space 1}   -0.55{col 56}{space 3}0.582{col 64}{space 4}-1.143006{col 77}{space 3} .6414726
{txt}{space 5}sexratio_1964_pre {c |}{col 24}{res}{space 2} 14.99277{col 36}{space 2} 3.740883{col 47}{space 1}    4.01{col 56}{space 3}0.000{col 64}{space 4} 7.660771{col 77}{space 3} 22.32476
{txt}urbanpopratio_1964_pre {c |}{col 24}{res}{space 2} -.208266{col 36}{space 2} .0355346{col 47}{space 1}   -5.86{col 56}{space 3}0.000{col 64}{space 4}-.2779125{col 77}{space 3}-.1386196
{txt}{space 4}qingrebellioncount {c |}{col 24}{res}{space 2}-.0220704{col 36}{space 2} .0535386{col 47}{space 1}   -0.41{col 56}{space 3}0.680{col 64}{space 4}-.1270041{col 77}{space 3} .0828633
{txt}{space 8}popdensity1964 {c |}{col 24}{res}{space 2}-.0027381{col 36}{space 2} .0013536{col 47}{space 1}   -2.02{col 56}{space 3}0.043{col 64}{space 4}-.0053911{col 77}{space 3} -.000085
{txt}{space 14}lnpergdp {c |}{col 24}{res}{space 2} 26.15299{col 36}{space 2} 10.81491{col 47}{space 1}    2.42{col 56}{space 3}0.016{col 64}{space 4} 4.956163{col 77}{space 3} 47.34982
{txt}{space 15}shouzai {c |}{col 24}{res}{space 2}-1.002533{col 36}{space 2} .3312337{col 47}{space 1}   -3.03{col 56}{space 3}0.002{col 64}{space 4} -1.65174{col 77}{space 3}-.3533273
{txt}{space 16}extrap {c |}{col 24}{res}{space 2}-.7707767{col 36}{space 2} .1987834{col 47}{space 1}   -3.88{col 56}{space 3}0.000{col 64}{space 4}-1.160385{col 77}{space 3}-.3811684
{txt}{space 19}pmd {c |}{col 24}{res}{space 2}-.4438017{col 36}{space 2} .1338174{col 47}{space 1}   -3.32{col 56}{space 3}0.001{col 64}{space 4}-.7060791{col 77}{space 3}-.1815244
{txt}{space 13}longitude {c |}{col 24}{res}{space 2} .5657042{col 36}{space 2} .1151293{col 47}{space 1}    4.91{col 56}{space 3}0.000{col 64}{space 4} .3400548{col 77}{space 3} .7913535
{txt}{space 14}latitude {c |}{col 24}{res}{space 2}-.1375491{col 36}{space 2} .1569915{col 47}{space 1}   -0.88{col 56}{space 3}0.381{col 64}{space 4}-.4452467{col 77}{space 3} .1701485
{txt}{space 14}resource {c |}{col 24}{res}{space 2}-.9529953{col 36}{space 2}  .282044{col 47}{space 1}   -3.38{col 56}{space 3}0.001{col 64}{space 4}-1.505792{col 77}{space 3}-.4001991
{txt}{space 16}colony {c |}{col 24}{res}{space 2} .8613719{col 36}{space 2}  .452226{col 47}{space 1}    1.90{col 56}{space 3}0.057{col 64}{space 4}-.0249748{col 77}{space 3} 1.747719
{txt}{space 16}suit_m {c |}{col 24}{res}{space 2}-1.439341{col 36}{space 2} .3337231{col 47}{space 1}   -4.31{col 56}{space 3}0.000{col 64}{space 4}-2.093426{col 77}{space 3}-.7852557
{txt}{space 5}distancetobeijing {c |}{col 24}{res}{space 2}  .004159{col 36}{space 2} .0017887{col 47}{space 1}    2.33{col 56}{space 3}0.020{col 64}{space 4} .0006532{col 77}{space 3} .0076649
{txt}{space 11}riverlength {c |}{col 24}{res}{space 2}-.0124018{col 36}{space 2} .0026241{col 47}{space 1}   -4.73{col 56}{space 3}0.000{col 64}{space 4}-.0175449{col 77}{space 3}-.0072587
{txt}{space 5}log_accountlength {c |}{col 24}{res}{space 2} .2713323{col 36}{space 2} .4342835{col 47}{space 1}    0.62{col 56}{space 3}0.532{col 64}{space 4}-.5798476{col 77}{space 3} 1.122512
{txt}{space 13}_Iprov_15 {c |}{col 24}{res}{space 2}-12.44653{col 36}{space 2} 3.755875{col 47}{space 1}   -3.31{col 56}{space 3}0.001{col 64}{space 4}-19.80791{col 77}{space 3}-5.085152
{txt}{space 13}_Iprov_21 {c |}{col 24}{res}{space 2}-32.42863{col 36}{space 2} 12.52321{col 47}{space 1}   -2.59{col 56}{space 3}0.010{col 64}{space 4}-56.97368{col 77}{space 3} -7.88359
{txt}{space 13}_Iprov_22 {c |}{col 24}{res}{space 2}-13.37631{col 36}{space 2} 5.368486{col 47}{space 1}   -2.49{col 56}{space 3}0.013{col 64}{space 4}-23.89835{col 77}{space 3}-2.854271
{txt}{space 13}_Iprov_23 {c |}{col 24}{res}{space 2}-37.53618{col 36}{space 2}  13.2054{col 47}{space 1}   -2.84{col 56}{space 3}0.004{col 64}{space 4}-63.41828{col 77}{space 3}-11.65407
{txt}{space 13}_Iprov_31 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_32 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_33 {c |}{col 24}{res}{space 2}-5.967244{col 36}{space 2} 1.681033{col 47}{space 1}   -3.55{col 56}{space 3}0.000{col 64}{space 4}-9.262009{col 77}{space 3}-2.672479
{txt}{space 13}_Iprov_34 {c |}{col 24}{res}{space 2} 1.447274{col 36}{space 2} 2.062995{col 47}{space 1}    0.70{col 56}{space 3}0.483{col 64}{space 4}-2.596123{col 77}{space 3} 5.490671
{txt}{space 13}_Iprov_35 {c |}{col 24}{res}{space 2}-13.45205{col 36}{space 2} 3.904717{col 47}{space 1}   -3.45{col 56}{space 3}0.001{col 64}{space 4}-21.10515{col 77}{space 3}-5.798941
{txt}{space 13}_Iprov_36 {c |}{col 24}{res}{space 2} 3.919548{col 36}{space 2} .9681768{col 47}{space 1}    4.05{col 56}{space 3}0.000{col 64}{space 4} 2.021956{col 77}{space 3} 5.817139
{txt}{space 13}_Iprov_37 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_41 {c |}{col 24}{res}{space 2} 30.68361{col 36}{space 2} 10.33317{col 47}{space 1}    2.97{col 56}{space 3}0.003{col 64}{space 4} 10.43096{col 77}{space 3} 50.93626
{txt}{space 13}_Iprov_42 {c |}{col 24}{res}{space 2}-3.541395{col 36}{space 2}  1.68404{col 47}{space 1}   -2.10{col 56}{space 3}0.035{col 64}{space 4}-6.842054{col 77}{space 3}-.2407369
{txt}{space 13}_Iprov_43 {c |}{col 24}{res}{space 2} 4.500589{col 36}{space 2} 1.517892{col 47}{space 1}    2.97{col 56}{space 3}0.003{col 64}{space 4} 1.525575{col 77}{space 3} 7.475604
{txt}{space 13}_Iprov_44 {c |}{col 24}{res}{space 2}-13.88959{col 36}{space 2} 5.426606{col 47}{space 1}   -2.56{col 56}{space 3}0.010{col 64}{space 4}-24.52554{col 77}{space 3}-3.253633
{txt}{space 13}_Iprov_45 {c |}{col 24}{res}{space 2}  20.7481{col 36}{space 2} 9.778141{col 47}{space 1}    2.12{col 56}{space 3}0.034{col 64}{space 4} 1.583299{col 77}{space 3} 39.91291
{txt}{space 13}_Iprov_50 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_51 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_52 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_53 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_61 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_62 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_64 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_65 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 17}_cons {c |}{col 24}{res}{space 2}-171.0051{col 36}{space 2} 58.88468{col 47}{space 1}   -2.90{col 56}{space 3}0.004{col 64}{space 4}-286.4169{col 77}{space 3}-55.59322
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 15 82}Instrumented:{space 2}CRdeath_pop_prefecture{p_end}
{p 0 15 82}Instruments:{space 3}male age agesquare han goodclass midclass sexratio_1964_pre urbanpopratio_1964_pre qingrebellioncount popdensity1964 lnpergdp shouzai extrap pmd longitude latitude resource colony suit_m distancetobeijing riverlength log_accountlength _Iprov_15 _Iprov_21 _Iprov_22 _Iprov_23 _Iprov_33 _Iprov_34 _Iprov_35 _Iprov_36 _Iprov_41 _Iprov_42 _Iprov_43 _Iprov_44 _Iprov_45 log_meandistancetosulphur{p_end}

{com}. estimates store table3_2
{txt}
{com}. estadd ysumm

{txt}added scalars:
                e(ysd) =  {res}2.7843213
               {txt}e(ymax) =  {res}10
               {txt}e(ymin) =  {res}0
              {txt}e(ymean) =  {res}4.0649459
{txt}
{com}. 
. xi:ivregress 2sls lackingfreeexpression (CRdeath_pop_prefecture=log_meandistancetosulphur) `individual_controls' `prefectural_controls' `minimum_controls'  if local==1, cl(city_id)
{txt}i.prov{col 19}_Iprov_13-65{col 39}(naturally coded; _Iprov_13 omitted)
{res}{txt}note: _Iprov_31 omitted because of collinearity
note: _Iprov_32 omitted because of collinearity
note: _Iprov_37 omitted because of collinearity
note: _Iprov_50 omitted because of collinearity
note: _Iprov_51 omitted because of collinearity
note: _Iprov_52 omitted because of collinearity
note: _Iprov_53 omitted because of collinearity
note: _Iprov_61 omitted because of collinearity
note: _Iprov_62 omitted because of collinearity
note: _Iprov_64 omitted because of collinearity
note: _Iprov_65 omitted because of collinearity
{res}
{txt}{col 1}Instrumental variables (2SLS) regression{col 51}Number of obs{col 67}= {res}     1,319
{txt}{col 1}{col 51}Wald chi2({res}36{txt}){col 67}= {res} 478238.56
{txt}{col 1}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}{col 1}{col 51}R-squared{col 67}= {res}    0.1286
{txt}{col 51}Root MSE{col 67}=    {res} 2.6023

{txt}{ralign 88:(Std. Err. adjusted for {res:43} clusters in city_id)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1} lackingfreeexpression{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      z{col 56}   P>|z|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
CRdeath_pop_prefecture {c |}{col 24}{res}{space 2} 1.204253{col 36}{space 2} .2475423{col 47}{space 1}    4.86{col 56}{space 3}0.000{col 64}{space 4} .7190789{col 77}{space 3} 1.689427
{txt}{space 18}male {c |}{col 24}{res}{space 2}-.0572894{col 36}{space 2} .1579919{col 47}{space 1}   -0.36{col 56}{space 3}0.717{col 64}{space 4}-.3669479{col 77}{space 3} .2523691
{txt}{space 19}age {c |}{col 24}{res}{space 2}-.0225076{col 36}{space 2}  .028789{col 47}{space 1}   -0.78{col 56}{space 3}0.434{col 64}{space 4}-.0789329{col 77}{space 3} .0339177
{txt}{space 13}agesquare {c |}{col 24}{res}{space 2} .0001067{col 36}{space 2} .0002835{col 47}{space 1}    0.38{col 56}{space 3}0.706{col 64}{space 4}-.0004488{col 77}{space 3} .0006623
{txt}{space 19}han {c |}{col 24}{res}{space 2}-.4535132{col 36}{space 2} .3400943{col 47}{space 1}   -1.33{col 56}{space 3}0.182{col 64}{space 4}-1.120086{col 77}{space 3} .2130595
{txt}{space 13}goodclass {c |}{col 24}{res}{space 2}-.1718252{col 36}{space 2} .3842966{col 47}{space 1}   -0.45{col 56}{space 3}0.655{col 64}{space 4}-.9250327{col 77}{space 3} .5813824
{txt}{space 14}midclass {c |}{col 24}{res}{space 2}-.0483068{col 36}{space 2} .3854257{col 47}{space 1}   -0.13{col 56}{space 3}0.900{col 64}{space 4}-.8037272{col 77}{space 3} .7071137
{txt}{space 5}sexratio_1964_pre {c |}{col 24}{res}{space 2} 22.49508{col 36}{space 2} 2.680232{col 47}{space 1}    8.39{col 56}{space 3}0.000{col 64}{space 4} 17.24193{col 77}{space 3} 27.74824
{txt}urbanpopratio_1964_pre {c |}{col 24}{res}{space 2}-.1478463{col 36}{space 2} .0322193{col 47}{space 1}   -4.59{col 56}{space 3}0.000{col 64}{space 4} -.210995{col 77}{space 3}-.0846977
{txt}{space 4}qingrebellioncount {c |}{col 24}{res}{space 2}-.1383505{col 36}{space 2} .0324916{col 47}{space 1}   -4.26{col 56}{space 3}0.000{col 64}{space 4} -.202033{col 77}{space 3}-.0746681
{txt}{space 8}popdensity1964 {c |}{col 24}{res}{space 2}-.0034223{col 36}{space 2} .0009107{col 47}{space 1}   -3.76{col 56}{space 3}0.000{col 64}{space 4}-.0052072{col 77}{space 3}-.0016373
{txt}{space 14}lnpergdp {c |}{col 24}{res}{space 2}   21.358{col 36}{space 2} 9.888295{col 47}{space 1}    2.16{col 56}{space 3}0.031{col 64}{space 4} 1.977295{col 77}{space 3}  40.7387
{txt}{space 15}shouzai {c |}{col 24}{res}{space 2}-.7587225{col 36}{space 2} .2679376{col 47}{space 1}   -2.83{col 56}{space 3}0.005{col 64}{space 4}-1.283871{col 77}{space 3}-.2335743
{txt}{space 16}extrap {c |}{col 24}{res}{space 2}-.6146122{col 36}{space 2}  .206082{col 47}{space 1}   -2.98{col 56}{space 3}0.003{col 64}{space 4}-1.018526{col 77}{space 3}-.2106989
{txt}{space 19}pmd {c |}{col 24}{res}{space 2}-.3689376{col 36}{space 2} .1227059{col 47}{space 1}   -3.01{col 56}{space 3}0.003{col 64}{space 4}-.6094367{col 77}{space 3}-.1284385
{txt}{space 13}longitude {c |}{col 24}{res}{space 2} .5482197{col 36}{space 2} .1102026{col 47}{space 1}    4.97{col 56}{space 3}0.000{col 64}{space 4} .3322265{col 77}{space 3} .7642128
{txt}{space 14}latitude {c |}{col 24}{res}{space 2}-.1789152{col 36}{space 2} .1249982{col 47}{space 1}   -1.43{col 56}{space 3}0.152{col 64}{space 4}-.4239071{col 77}{space 3} .0660767
{txt}{space 14}resource {c |}{col 24}{res}{space 2}-1.390938{col 36}{space 2} .3255583{col 47}{space 1}   -4.27{col 56}{space 3}0.000{col 64}{space 4}-2.029021{col 77}{space 3} -.752856
{txt}{space 16}colony {c |}{col 24}{res}{space 2} 2.444641{col 36}{space 2} .3121844{col 47}{space 1}    7.83{col 56}{space 3}0.000{col 64}{space 4} 1.832771{col 77}{space 3} 3.056511
{txt}{space 16}suit_m {c |}{col 24}{res}{space 2}-.9668605{col 36}{space 2} .3085825{col 47}{space 1}   -3.13{col 56}{space 3}0.002{col 64}{space 4}-1.571671{col 77}{space 3}-.3620498
{txt}{space 5}distancetobeijing {c |}{col 24}{res}{space 2} .0048763{col 36}{space 2} .0019205{col 47}{space 1}    2.54{col 56}{space 3}0.011{col 64}{space 4} .0011122{col 77}{space 3} .0086403
{txt}{space 11}riverlength {c |}{col 24}{res}{space 2}-.0000263{col 36}{space 2} .0018935{col 47}{space 1}   -0.01{col 56}{space 3}0.989{col 64}{space 4}-.0037376{col 77}{space 3} .0036849
{txt}{space 5}log_accountlength {c |}{col 24}{res}{space 2}-.2949258{col 36}{space 2} .2164933{col 47}{space 1}   -1.36{col 56}{space 3}0.173{col 64}{space 4}-.7192448{col 77}{space 3} .1293933
{txt}{space 13}_Iprov_15 {c |}{col 24}{res}{space 2}-11.72852{col 36}{space 2} 3.766734{col 47}{space 1}   -3.11{col 56}{space 3}0.002{col 64}{space 4}-19.11119{col 77}{space 3}-4.345861
{txt}{space 13}_Iprov_21 {c |}{col 24}{res}{space 2}-27.84222{col 36}{space 2} 11.33291{col 47}{space 1}   -2.46{col 56}{space 3}0.014{col 64}{space 4}-50.05432{col 77}{space 3}-5.630125
{txt}{space 13}_Iprov_22 {c |}{col 24}{res}{space 2}-15.47652{col 36}{space 2} 5.173342{col 47}{space 1}   -2.99{col 56}{space 3}0.003{col 64}{space 4}-25.61608{col 77}{space 3}-5.336955
{txt}{space 13}_Iprov_23 {c |}{col 24}{res}{space 2}-35.23602{col 36}{space 2} 12.48797{col 47}{space 1}   -2.82{col 56}{space 3}0.005{col 64}{space 4}-59.71198{col 77}{space 3}-10.76006
{txt}{space 13}_Iprov_31 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_32 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_33 {c |}{col 24}{res}{space 2}-8.427875{col 36}{space 2} 1.576675{col 47}{space 1}   -5.35{col 56}{space 3}0.000{col 64}{space 4} -11.5181{col 77}{space 3} -5.33765
{txt}{space 13}_Iprov_34 {c |}{col 24}{res}{space 2}-2.038877{col 36}{space 2} 1.403068{col 47}{space 1}   -1.45{col 56}{space 3}0.146{col 64}{space 4} -4.78884{col 77}{space 3} .7110869
{txt}{space 13}_Iprov_35 {c |}{col 24}{res}{space 2}-11.86879{col 36}{space 2} 3.199845{col 47}{space 1}   -3.71{col 56}{space 3}0.000{col 64}{space 4}-18.14037{col 77}{space 3}-5.597212
{txt}{space 13}_Iprov_36 {c |}{col 24}{res}{space 2} .7638972{col 36}{space 2} 1.153758{col 47}{space 1}    0.66{col 56}{space 3}0.508{col 64}{space 4}-1.497428{col 77}{space 3} 3.025222
{txt}{space 13}_Iprov_37 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_41 {c |}{col 24}{res}{space 2} 25.50077{col 36}{space 2} 9.289422{col 47}{space 1}    2.75{col 56}{space 3}0.006{col 64}{space 4} 7.293833{col 77}{space 3}  43.7077
{txt}{space 13}_Iprov_42 {c |}{col 24}{res}{space 2}-4.187315{col 36}{space 2} 1.665967{col 47}{space 1}   -2.51{col 56}{space 3}0.012{col 64}{space 4}-7.452549{col 77}{space 3}-.9220802
{txt}{space 13}_Iprov_43 {c |}{col 24}{res}{space 2} 1.024705{col 36}{space 2} 1.453726{col 47}{space 1}    0.70{col 56}{space 3}0.481{col 64}{space 4}-1.824545{col 77}{space 3} 3.873955
{txt}{space 13}_Iprov_44 {c |}{col 24}{res}{space 2}-14.18047{col 36}{space 2} 4.659939{col 47}{space 1}   -3.04{col 56}{space 3}0.002{col 64}{space 4}-23.31378{col 77}{space 3}-5.047155
{txt}{space 13}_Iprov_45 {c |}{col 24}{res}{space 2} 13.79097{col 36}{space 2} 8.972685{col 47}{space 1}    1.54{col 56}{space 3}0.124{col 64}{space 4}-3.795168{col 77}{space 3} 31.37711
{txt}{space 13}_Iprov_50 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_51 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_52 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_53 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_61 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_62 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_64 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_65 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 17}_cons {c |}{col 24}{res}{space 2}-155.9287{col 36}{space 2} 54.53999{col 47}{space 1}   -2.86{col 56}{space 3}0.004{col 64}{space 4}-262.8251{col 77}{space 3}-49.03226
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 15 82}Instrumented:{space 2}CRdeath_pop_prefecture{p_end}
{p 0 15 82}Instruments:{space 3}male age agesquare han goodclass midclass sexratio_1964_pre urbanpopratio_1964_pre qingrebellioncount popdensity1964 lnpergdp shouzai extrap pmd longitude latitude resource colony suit_m distancetobeijing riverlength log_accountlength _Iprov_15 _Iprov_21 _Iprov_22 _Iprov_23 _Iprov_33 _Iprov_34 _Iprov_35 _Iprov_36 _Iprov_41 _Iprov_42 _Iprov_43 _Iprov_44 _Iprov_45 log_meandistancetosulphur{p_end}

{com}. estimates store table3_3
{txt}
{com}. estadd ysumm

{txt}added scalars:
                e(ysd) =  {res}2.7888555
               {txt}e(ymax) =  {res}10
               {txt}e(ymin) =  {res}0
              {txt}e(ymean) =  {res}3.0386657
{txt}
{com}. 
. xi:ivregress 2sls everprotested (CRdeath_pop_prefecture=log_meandistancetosulphur) `individual_controls' `prefectural_controls' `minimum_controls'  if local==1, cl(city_id)
{txt}i.prov{col 19}_Iprov_13-65{col 39}(naturally coded; _Iprov_13 omitted)
{res}{txt}note: _Iprov_31 omitted because of collinearity
note: _Iprov_32 omitted because of collinearity
note: _Iprov_37 omitted because of collinearity
note: _Iprov_50 omitted because of collinearity
note: _Iprov_51 omitted because of collinearity
note: _Iprov_52 omitted because of collinearity
note: _Iprov_53 omitted because of collinearity
note: _Iprov_61 omitted because of collinearity
note: _Iprov_62 omitted because of collinearity
note: _Iprov_64 omitted because of collinearity
note: _Iprov_65 omitted because of collinearity
{res}
{txt}{col 1}Instrumental variables (2SLS) regression{col 51}Number of obs{col 67}= {res}     1,461
{txt}{col 1}{col 51}Wald chi2({res}36{txt}){col 67}= {res}  24971.52
{txt}{col 1}{col 51}Prob > chi2{col 67}= {res}    0.0000
{txt}{col 1}{col 51}R-squared{col 67}= {res}    0.0224
{txt}{col 51}Root MSE{col 67}=    {res} .09632

{txt}{ralign 88:(Std. Err. adjusted for {res:43} clusters in city_id)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}         everprotested{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      z{col 56}   P>|z|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
CRdeath_pop_prefecture {c |}{col 24}{res}{space 2} -.011235{col 36}{space 2} .0024773{col 47}{space 1}   -4.54{col 56}{space 3}0.000{col 64}{space 4}-.0160904{col 77}{space 3}-.0063797
{txt}{space 18}male {c |}{col 24}{res}{space 2} .0131263{col 36}{space 2} .0042506{col 47}{space 1}    3.09{col 56}{space 3}0.002{col 64}{space 4} .0047953{col 77}{space 3} .0214573
{txt}{space 19}age {c |}{col 24}{res}{space 2} -.001116{col 36}{space 2} .0009181{col 47}{space 1}   -1.22{col 56}{space 3}0.224{col 64}{space 4}-.0029154{col 77}{space 3} .0006835
{txt}{space 13}agesquare {c |}{col 24}{res}{space 2} .0000116{col 36}{space 2} 9.05e-06{col 47}{space 1}    1.28{col 56}{space 3}0.199{col 64}{space 4}-6.12e-06{col 77}{space 3} .0000294
{txt}{space 19}han {c |}{col 24}{res}{space 2} .0093074{col 36}{space 2} .0046241{col 47}{space 1}    2.01{col 56}{space 3}0.044{col 64}{space 4} .0002442{col 77}{space 3} .0183705
{txt}{space 13}goodclass {c |}{col 24}{res}{space 2}-.0055806{col 36}{space 2} .0193794{col 47}{space 1}   -0.29{col 56}{space 3}0.773{col 64}{space 4}-.0435634{col 77}{space 3} .0324023
{txt}{space 14}midclass {c |}{col 24}{res}{space 2}-.0060883{col 36}{space 2} .0199288{col 47}{space 1}   -0.31{col 56}{space 3}0.760{col 64}{space 4}-.0451481{col 77}{space 3} .0329715
{txt}{space 5}sexratio_1964_pre {c |}{col 24}{res}{space 2}-.0974637{col 36}{space 2} .0331558{col 47}{space 1}   -2.94{col 56}{space 3}0.003{col 64}{space 4}-.1624478{col 77}{space 3}-.0324796
{txt}urbanpopratio_1964_pre {c |}{col 24}{res}{space 2} .0014887{col 36}{space 2} .0005041{col 47}{space 1}    2.95{col 56}{space 3}0.003{col 64}{space 4} .0005007{col 77}{space 3} .0024767
{txt}{space 4}qingrebellioncount {c |}{col 24}{res}{space 2}-.0007134{col 36}{space 2} .0006175{col 47}{space 1}   -1.16{col 56}{space 3}0.248{col 64}{space 4}-.0019236{col 77}{space 3} .0004968
{txt}{space 8}popdensity1964 {c |}{col 24}{res}{space 2}-9.04e-06{col 36}{space 2} .0000228{col 47}{space 1}   -0.40{col 56}{space 3}0.691{col 64}{space 4}-.0000536{col 77}{space 3} .0000356
{txt}{space 14}lnpergdp {c |}{col 24}{res}{space 2}-.4046868{col 36}{space 2}  .138412{col 47}{space 1}   -2.92{col 56}{space 3}0.003{col 64}{space 4}-.6759693{col 77}{space 3}-.1334042
{txt}{space 15}shouzai {c |}{col 24}{res}{space 2} .0160204{col 36}{space 2} .0045298{col 47}{space 1}    3.54{col 56}{space 3}0.000{col 64}{space 4} .0071421{col 77}{space 3} .0248986
{txt}{space 16}extrap {c |}{col 24}{res}{space 2} .0036223{col 36}{space 2} .0029519{col 47}{space 1}    1.23{col 56}{space 3}0.220{col 64}{space 4}-.0021632{col 77}{space 3} .0094079
{txt}{space 19}pmd {c |}{col 24}{res}{space 2} .0036114{col 36}{space 2} .0017339{col 47}{space 1}    2.08{col 56}{space 3}0.037{col 64}{space 4} .0002131{col 77}{space 3} .0070097
{txt}{space 13}longitude {c |}{col 24}{res}{space 2}-.0066671{col 36}{space 2} .0014243{col 47}{space 1}   -4.68{col 56}{space 3}0.000{col 64}{space 4}-.0094586{col 77}{space 3}-.0038756
{txt}{space 14}latitude {c |}{col 24}{res}{space 2} .0112986{col 36}{space 2} .0023462{col 47}{space 1}    4.82{col 56}{space 3}0.000{col 64}{space 4} .0067002{col 77}{space 3}  .015897
{txt}{space 14}resource {c |}{col 24}{res}{space 2}    .0049{col 36}{space 2} .0032242{col 47}{space 1}    1.52{col 56}{space 3}0.129{col 64}{space 4}-.0014193{col 77}{space 3} .0112193
{txt}{space 16}colony {c |}{col 24}{res}{space 2} .0002069{col 36}{space 2} .0049614{col 47}{space 1}    0.04{col 56}{space 3}0.967{col 64}{space 4}-.0095172{col 77}{space 3} .0099311
{txt}{space 16}suit_m {c |}{col 24}{res}{space 2} .0018743{col 36}{space 2} .0048758{col 47}{space 1}    0.38{col 56}{space 3}0.701{col 64}{space 4}-.0076821{col 77}{space 3} .0114307
{txt}{space 5}distancetobeijing {c |}{col 24}{res}{space 2} .0000578{col 36}{space 2} .0000217{col 47}{space 1}    2.66{col 56}{space 3}0.008{col 64}{space 4} .0000152{col 77}{space 3} .0001004
{txt}{space 11}riverlength {c |}{col 24}{res}{space 2} -.000067{col 36}{space 2} .0000295{col 47}{space 1}   -2.27{col 56}{space 3}0.023{col 64}{space 4}-.0001247{col 77}{space 3}-9.25e-06
{txt}{space 5}log_accountlength {c |}{col 24}{res}{space 2}-.0121419{col 36}{space 2} .0044926{col 47}{space 1}   -2.70{col 56}{space 3}0.007{col 64}{space 4}-.0209472{col 77}{space 3}-.0033366
{txt}{space 13}_Iprov_15 {c |}{col 24}{res}{space 2}  .133201{col 36}{space 2} .0494312{col 47}{space 1}    2.69{col 56}{space 3}0.007{col 64}{space 4} .0363176{col 77}{space 3} .2300845
{txt}{space 13}_Iprov_21 {c |}{col 24}{res}{space 2} .4786002{col 36}{space 2} .1593046{col 47}{space 1}    3.00{col 56}{space 3}0.003{col 64}{space 4} .1663689{col 77}{space 3} .7908315
{txt}{space 13}_Iprov_22 {c |}{col 24}{res}{space 2} .1872856{col 36}{space 2} .0647439{col 47}{space 1}    2.89{col 56}{space 3}0.004{col 64}{space 4} .0603899{col 77}{space 3} .3141812
{txt}{space 13}_Iprov_23 {c |}{col 24}{res}{space 2} .4676655{col 36}{space 2} .1675417{col 47}{space 1}    2.79{col 56}{space 3}0.005{col 64}{space 4} .1392899{col 77}{space 3} .7960411
{txt}{space 13}_Iprov_31 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_32 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_33 {c |}{col 24}{res}{space 2} .0882179{col 36}{space 2} .0230316{col 47}{space 1}    3.83{col 56}{space 3}0.000{col 64}{space 4} .0430767{col 77}{space 3} .1333591
{txt}{space 13}_Iprov_34 {c |}{col 24}{res}{space 2}-.0053727{col 36}{space 2} .0233384{col 47}{space 1}   -0.23{col 56}{space 3}0.818{col 64}{space 4}-.0511151{col 77}{space 3} .0403698
{txt}{space 13}_Iprov_35 {c |}{col 24}{res}{space 2} .1809899{col 36}{space 2} .0496631{col 47}{space 1}    3.64{col 56}{space 3}0.000{col 64}{space 4} .0836521{col 77}{space 3} .2783277
{txt}{space 13}_Iprov_36 {c |}{col 24}{res}{space 2} .0404062{col 36}{space 2} .0145141{col 47}{space 1}    2.78{col 56}{space 3}0.005{col 64}{space 4}  .011959{col 77}{space 3} .0688534
{txt}{space 13}_Iprov_37 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_41 {c |}{col 24}{res}{space 2}-.3588019{col 36}{space 2}  .131507{col 47}{space 1}   -2.73{col 56}{space 3}0.006{col 64}{space 4} -.616551{col 77}{space 3}-.1010529
{txt}{space 13}_Iprov_42 {c |}{col 24}{res}{space 2} .0626843{col 36}{space 2} .0242621{col 47}{space 1}    2.58{col 56}{space 3}0.010{col 64}{space 4} .0151314{col 77}{space 3} .1102371
{txt}{space 13}_Iprov_43 {c |}{col 24}{res}{space 2}-.0197648{col 36}{space 2} .0198048{col 47}{space 1}   -1.00{col 56}{space 3}0.318{col 64}{space 4}-.0585814{col 77}{space 3} .0190518
{txt}{space 13}_Iprov_44 {c |}{col 24}{res}{space 2} .2039076{col 36}{space 2} .0634207{col 47}{space 1}    3.22{col 56}{space 3}0.001{col 64}{space 4} .0796053{col 77}{space 3}   .32821
{txt}{space 13}_Iprov_45 {c |}{col 24}{res}{space 2}-.3334404{col 36}{space 2} .1274581{col 47}{space 1}   -2.62{col 56}{space 3}0.009{col 64}{space 4}-.5832536{col 77}{space 3}-.0836271
{txt}{space 13}_Iprov_50 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_51 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_52 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_53 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_61 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_62 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_64 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_65 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 17}_cons {c |}{col 24}{res}{space 2} 2.312128{col 36}{space 2} .7120648{col 47}{space 1}    3.25{col 56}{space 3}0.001{col 64}{space 4} .9165068{col 77}{space 3}  3.70775
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 15 82}Instrumented:{space 2}CRdeath_pop_prefecture{p_end}
{p 0 15 82}Instruments:{space 3}male age agesquare han goodclass midclass sexratio_1964_pre urbanpopratio_1964_pre qingrebellioncount popdensity1964 lnpergdp shouzai extrap pmd longitude latitude resource colony suit_m distancetobeijing riverlength log_accountlength _Iprov_15 _Iprov_21 _Iprov_22 _Iprov_23 _Iprov_33 _Iprov_34 _Iprov_35 _Iprov_36 _Iprov_41 _Iprov_42 _Iprov_43 _Iprov_44 _Iprov_45 log_meandistancetosulphur{p_end}

{com}. estimates store table3_4
{txt}
{com}. estadd ysumm

{txt}added scalars:
                e(ysd) =  {res}.09745334
               {txt}e(ymax) =  {res}1
               {txt}e(ymin) =  {res}0
              {txt}e(ymean) =  {res}.00958248
{txt}
{com}. 
. esttab table3_1 table3_2 table3_3 table3_4 using table3.tex, ///
> collabels(none)  cells(b(star fmt(3)) se(par)) staraux star(* 0.10 ** 0.05 *** 0.01)  replace ///
> stats(N r2, fmt(0 3)  labels(`"N"' `"R2"')) drop(_Iprov*) ///
> title(Table 3: IV Estimates of the Effects of Cultural Revolution Violence on Political Attitudes and Behavior) 
{res}{txt}(note: file table3.tex not found)
(output written to {browse  `"table3.tex"'})

{com}. 
. *\ Hausman Tests*
. 
. local individual_controls "male age agesquare han goodclass midclass"
{txt}
{com}. local prefectural_controls "sexratio_1964_pre urbanpopratio_1964_pre qingrebellion popdensity1964 lnpergdp shouzai extrap pmd longitude latitude resource colony suit_m distancetobeijing riverlength"
{txt}
{com}. local minimum_controls "log_accountlength i.prov"
{txt}
{com}. 
. quietly xi:ivreg trustcentralhead (CRdeath_pop_prefecture=log_meandistancetosulphur) `individual_controls' `prefectural_controls' `minimum_controls'  if local==1
{txt}
{com}. ivendog 

{txt}Tests of endogeneity of: {res}CRdeath_pop_prefecture
{txt}H0: Regressor is exogenous
    Wu-Hausman F test: {col 39}{res}  1.29629{txt}  F({res}1{txt},{res}1258{txt}){col 62}P-value = {res}0.25511
{txt}    Durbin-Wu-Hausman chi-sq test: {col 39}{res}  1.33408{txt}  Chi-sq({res}1{txt}){col 62}P-value = {res}0.24808
{txt}
{com}. 
. quietly xi:ivreg lackingdemocracy (CRdeath_pop_prefecture=log_meandistancetosulphur) `individual_controls' `prefectural_controls' `minimum_controls'  if local==1
{txt}
{com}. ivendog 

{txt}Tests of endogeneity of: {res}CRdeath_pop_prefecture
{txt}H0: Regressor is exogenous
    Wu-Hausman F test: {col 39}{res}  0.19606{txt}  F({res}1{txt},{res}1163{txt}){col 62}P-value = {res}0.65800
{txt}    Durbin-Wu-Hausman chi-sq test: {col 39}{res}  0.20243{txt}  Chi-sq({res}1{txt}){col 62}P-value = {res}0.65277
{txt}
{com}. 
. quietly xi:ivreg lackingfreeexpression (CRdeath_pop_prefecture=log_meandistancetosulphur) `individual_controls' `prefectural_controls' `minimum_controls'  if local==1
{txt}
{com}. ivendog 

{txt}Tests of endogeneity of: {res}CRdeath_pop_prefecture
{txt}H0: Regressor is exogenous
    Wu-Hausman F test: {col 39}{res}  0.33393{txt}  F({res}1{txt},{res}1281{txt}){col 62}P-value = {res}0.56345
{txt}    Durbin-Wu-Hausman chi-sq test: {col 39}{res}  0.34375{txt}  Chi-sq({res}1{txt}){col 62}P-value = {res}0.55767
{txt}
{com}. 
. quietly xi:ivreg everprotested (CRdeath_pop_prefecture=log_meandistancetosulphur) `individual_controls' `prefectural_controls' `minimum_controls'  if local==1
{txt}
{com}. ivendog 

{txt}Tests of endogeneity of: {res}CRdeath_pop_prefecture
{txt}H0: Regressor is exogenous
    Wu-Hausman F test: {col 39}{res}  0.03570{txt}  F({res}1{txt},{res}1423{txt}){col 62}P-value = {res}0.85017
{txt}    Durbin-Wu-Hausman chi-sq test: {col 39}{res}  0.03665{txt}  Chi-sq({res}1{txt}){col 62}P-value = {res}0.84818
{txt}
{com}. 
. *\ First Stage (with F-stats)*
. local individual_controls "male age agesquare han goodclass midclass"
{txt}
{com}. local prefectural_controls "sexratio_1964_pre urbanpopratio_1964_pre qingrebellion popdensity1964 lnpergdp shouzai extrap pmd longitude latitude resource colony suit_m distancetobeijing riverlength"
{txt}
{com}. local minimum_controls "log_accountlength i.prov"
{txt}
{com}. 
. xi: reg CRdeath_pop_prefecture log_meandistancetosulphur `individual_controls' `prefectural_controls' `minimum_controls' if trustcentralhead~=. & local==1, cl(city_id)
{txt}i.prov{col 19}_Iprov_13-65{col 39}(naturally coded; _Iprov_13 omitted)
note: _Iprov_22 omitted because of collinearity
note: _Iprov_23 omitted because of collinearity
note: _Iprov_31 omitted because of collinearity
note: _Iprov_32 omitted because of collinearity
note: _Iprov_37 omitted because of collinearity
note: _Iprov_41 omitted because of collinearity
note: _Iprov_45 omitted because of collinearity
note: _Iprov_50 omitted because of collinearity
note: _Iprov_52 omitted because of collinearity
note: _Iprov_64 omitted because of collinearity
note: _Iprov_65 omitted because of collinearity

Linear regression                               Number of obs     = {res}     1,296
                                                {txt}F(36, 42)         =  {res}   146.29
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9632
                                                {txt}Root MSE          =    {res}  .2082

{txt}{ralign 91:(Std. Err. adjusted for {res:43} clusters in city_id)}
{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}   CRdeath_pop_prefecture{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      t{col 59}   P>|t|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
log_meandistancetosulphur {c |}{col 27}{res}{space 2} 3.083799{col 39}{space 2} .4193487{col 50}{space 1}    7.35{col 59}{space 3}0.000{col 67}{space 4} 2.237519{col 80}{space 3} 3.930079
{txt}{space 21}male {c |}{col 27}{res}{space 2} .0157492{col 39}{space 2} .0079952{col 50}{space 1}    1.97{col 59}{space 3}0.055{col 67}{space 4}-.0003858{col 80}{space 3} .0318843
{txt}{space 22}age {c |}{col 27}{res}{space 2}-.0021599{col 39}{space 2} .0011099{col 50}{space 1}   -1.95{col 59}{space 3}0.058{col 67}{space 4}-.0043997{col 80}{space 3}   .00008
{txt}{space 16}agesquare {c |}{col 27}{res}{space 2} .0000156{col 39}{space 2} .0000101{col 50}{space 1}    1.55{col 59}{space 3}0.130{col 67}{space 4}-4.76e-06{col 80}{space 3} .0000359
{txt}{space 22}han {c |}{col 27}{res}{space 2} .1294355{col 39}{space 2} .0604782{col 50}{space 1}    2.14{col 59}{space 3}0.038{col 67}{space 4} .0073855{col 80}{space 3} .2514856
{txt}{space 16}goodclass {c |}{col 27}{res}{space 2} .0529211{col 39}{space 2} .0203799{col 50}{space 1}    2.60{col 59}{space 3}0.013{col 67}{space 4} .0117929{col 80}{space 3} .0940494
{txt}{space 17}midclass {c |}{col 27}{res}{space 2} .0227553{col 39}{space 2} .0169024{col 50}{space 1}    1.35{col 59}{space 3}0.185{col 67}{space 4}-.0113551{col 80}{space 3} .0568656
{txt}{space 8}sexratio_1964_pre {c |}{col 27}{res}{space 2}-8.461804{col 39}{space 2} 1.648655{col 50}{space 1}   -5.13{col 59}{space 3}0.000{col 67}{space 4}-11.78892{col 80}{space 3}-5.134684
{txt}{space 3}urbanpopratio_1964_pre {c |}{col 27}{res}{space 2} .0530545{col 39}{space 2} .0172467{col 50}{space 1}    3.08{col 59}{space 3}0.004{col 67}{space 4} .0182491{col 80}{space 3} .0878598
{txt}{space 7}qingrebellioncount {c |}{col 27}{res}{space 2} .1683261{col 39}{space 2} .0340571{col 50}{space 1}    4.94{col 59}{space 3}0.000{col 67}{space 4} .0995962{col 80}{space 3}  .237056
{txt}{space 11}popdensity1964 {c |}{col 27}{res}{space 2} .0018626{col 39}{space 2} .0005132{col 50}{space 1}    3.63{col 59}{space 3}0.001{col 67}{space 4} .0008269{col 80}{space 3} .0028983
{txt}{space 17}lnpergdp {c |}{col 27}{res}{space 2}-3.252744{col 39}{space 2} .6155736{col 50}{space 1}   -5.28{col 59}{space 3}0.000{col 67}{space 4}-4.495022{col 80}{space 3}-2.010466
{txt}{space 18}shouzai {c |}{col 27}{res}{space 2} -.947916{col 39}{space 2}  .115887{col 50}{space 1}   -8.18{col 59}{space 3}0.000{col 67}{space 4}-1.181785{col 80}{space 3}-.7140466
{txt}{space 19}extrap {c |}{col 27}{res}{space 2} .2538449{col 39}{space 2} .0437508{col 50}{space 1}    5.80{col 59}{space 3}0.000{col 67}{space 4} .1655522{col 80}{space 3} .3421377
{txt}{space 22}pmd {c |}{col 27}{res}{space 2} .0652631{col 39}{space 2} .0110057{col 50}{space 1}    5.93{col 59}{space 3}0.000{col 67}{space 4} .0430527{col 80}{space 3} .0874735
{txt}{space 16}longitude {c |}{col 27}{res}{space 2}-.3004907{col 39}{space 2} .0448904{col 50}{space 1}   -6.69{col 59}{space 3}0.000{col 67}{space 4}-.3910832{col 80}{space 3}-.2098981
{txt}{space 17}latitude {c |}{col 27}{res}{space 2} -.270621{col 39}{space 2} .0751586{col 50}{space 1}   -3.60{col 59}{space 3}0.001{col 67}{space 4}-.4222972{col 80}{space 3}-.1189449
{txt}{space 17}resource {c |}{col 27}{res}{space 2} .9227483{col 39}{space 2} .1761258{col 50}{space 1}    5.24{col 59}{space 3}0.000{col 67}{space 4} .5673121{col 80}{space 3} 1.278185
{txt}{space 19}colony {c |}{col 27}{res}{space 2}  -.75849{col 39}{space 2} .2096178{col 50}{space 1}   -3.62{col 59}{space 3}0.001{col 67}{space 4}-1.181516{col 80}{space 3}-.3354641
{txt}{space 19}suit_m {c |}{col 27}{res}{space 2}-.0772024{col 39}{space 2} .1930613{col 50}{space 1}   -0.40{col 59}{space 3}0.691{col 67}{space 4}-.4668159{col 80}{space 3} .3124112
{txt}{space 8}distancetobeijing {c |}{col 27}{res}{space 2}-.0067296{col 39}{space 2} .0011136{col 50}{space 1}   -6.04{col 59}{space 3}0.000{col 67}{space 4} -.008977{col 80}{space 3}-.0044822
{txt}{space 14}riverlength {c |}{col 27}{res}{space 2}-.0002569{col 39}{space 2} .0012318{col 50}{space 1}   -0.21{col 59}{space 3}0.836{col 67}{space 4}-.0027428{col 80}{space 3} .0022291
{txt}{space 8}log_accountlength {c |}{col 27}{res}{space 2}-.4215071{col 39}{space 2} .1642849{col 50}{space 1}   -2.57{col 59}{space 3}0.014{col 67}{space 4}-.7530475{col 80}{space 3}-.0899668
{txt}{space 16}_Iprov_15 {c |}{col 27}{res}{space 2} 1.863284{col 39}{space 2} .1809724{col 50}{space 1}   10.30{col 59}{space 3}0.000{col 67}{space 4} 1.498067{col 80}{space 3} 2.228501
{txt}{space 16}_Iprov_21 {c |}{col 27}{res}{space 2}-2.096036{col 39}{space 2} .5182678{col 50}{space 1}   -4.04{col 59}{space 3}0.000{col 67}{space 4}-3.141943{col 80}{space 3}-1.050129
{txt}{space 16}_Iprov_22 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 16}_Iprov_23 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 16}_Iprov_31 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 16}_Iprov_32 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 16}_Iprov_33 {c |}{col 27}{res}{space 2} 2.750475{col 39}{space 2} .7361231{col 50}{space 1}    3.74{col 59}{space 3}0.001{col 67}{space 4} 1.264918{col 80}{space 3} 4.236032
{txt}{space 16}_Iprov_34 {c |}{col 27}{res}{space 2} 1.721567{col 39}{space 2} .4876603{col 50}{space 1}    3.53{col 59}{space 3}0.001{col 67}{space 4} .7374286{col 80}{space 3} 2.705705
{txt}{space 16}_Iprov_35 {c |}{col 27}{res}{space 2}-7.124673{col 39}{space 2} .8567253{col 50}{space 1}   -8.32{col 59}{space 3}0.000{col 67}{space 4}-8.853614{col 80}{space 3}-5.395731
{txt}{space 16}_Iprov_36 {c |}{col 27}{res}{space 2}-4.770265{col 39}{space 2} .6614749{col 50}{space 1}   -7.21{col 59}{space 3}0.000{col 67}{space 4}-6.105175{col 80}{space 3}-3.435354
{txt}{space 16}_Iprov_37 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 16}_Iprov_41 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 16}_Iprov_42 {c |}{col 27}{res}{space 2}-1.123433{col 39}{space 2} .4018508{col 50}{space 1}   -2.80{col 59}{space 3}0.008{col 67}{space 4}-1.934401{col 80}{space 3}-.3124656
{txt}{space 16}_Iprov_43 {c |}{col 27}{res}{space 2}-2.954875{col 39}{space 2} .4635815{col 50}{space 1}   -6.37{col 59}{space 3}0.000{col 67}{space 4} -3.89042{col 80}{space 3}-2.019329
{txt}{space 16}_Iprov_44 {c |}{col 27}{res}{space 2} 2.375484{col 39}{space 2} .9526822{col 50}{space 1}    2.49{col 59}{space 3}0.017{col 67}{space 4} .4528934{col 80}{space 3} 4.298075
{txt}{space 16}_Iprov_45 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 16}_Iprov_50 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 16}_Iprov_51 {c |}{col 27}{res}{space 2} -8.56161{col 39}{space 2} .7648123{col 50}{space 1}  -11.19{col 59}{space 3}0.000{col 67}{space 4}-10.10506{col 80}{space 3}-7.018157
{txt}{space 16}_Iprov_52 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 16}_Iprov_53 {c |}{col 27}{res}{space 2}-7.973128{col 39}{space 2} .6530192{col 50}{space 1}  -12.21{col 59}{space 3}0.000{col 67}{space 4}-9.290974{col 80}{space 3}-6.655282
{txt}{space 16}_Iprov_61 {c |}{col 27}{res}{space 2}-4.427524{col 39}{space 2} .4053012{col 50}{space 1}  -10.92{col 59}{space 3}0.000{col 67}{space 4}-5.245455{col 80}{space 3}-3.609593
{txt}{space 16}_Iprov_62 {c |}{col 27}{res}{space 2}-10.40422{col 39}{space 2} 1.017714{col 50}{space 1}  -10.22{col 59}{space 3}0.000{col 67}{space 4}-12.45805{col 80}{space 3}-8.350388
{txt}{space 16}_Iprov_64 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 16}_Iprov_65 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 20}_cons {c |}{col 27}{res}{space 2} 72.48832{col 39}{space 2} 8.875652{col 50}{space 1}    8.17{col 59}{space 3}0.000{col 67}{space 4} 54.57653{col 80}{space 3} 90.40011
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. *F-stat*
. test log_meandistancetosulphur=0

{p 0 7}{space 1}{text:( 1)}{space 1} {res}log_meandistancetosulphur = 0{p_end}

{txt}       F(  1,    42) ={res}   54.08
{txt}{col 13}Prob > F ={res}    0.0000
{txt}
{com}. estimates store table3firststage_1
{txt}
{com}. 
. xi: reg CRdeath_pop_prefecture log_meandistancetosulphur `individual_controls' `prefectural_controls' `minimum_controls' if lackingdemocracy~=.& local==1, cl(city_id)
{txt}i.prov{col 19}_Iprov_13-65{col 39}(naturally coded; _Iprov_13 omitted)
note: _Iprov_22 omitted because of collinearity
note: _Iprov_23 omitted because of collinearity
note: _Iprov_31 omitted because of collinearity
note: _Iprov_32 omitted because of collinearity
note: _Iprov_37 omitted because of collinearity
note: _Iprov_41 omitted because of collinearity
note: _Iprov_45 omitted because of collinearity
note: _Iprov_50 omitted because of collinearity
note: _Iprov_52 omitted because of collinearity
note: _Iprov_64 omitted because of collinearity
note: _Iprov_65 omitted because of collinearity

Linear regression                               Number of obs     = {res}     1,201
                                                {txt}{help j_robustsingular:F(35, 42) }        =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.9565
                                                {txt}Root MSE          =    {res} .21221

{txt}{ralign 91:(Std. Err. adjusted for {res:43} clusters in city_id)}
{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}   CRdeath_pop_prefecture{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      t{col 59}   P>|t|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
log_meandistancetosulphur {c |}{col 27}{res}{space 2}  3.02339{col 39}{space 2}  .465807{col 50}{space 1}    6.49{col 59}{space 3}0.000{col 67}{space 4} 2.083353{col 80}{space 3} 3.963426
{txt}{space 21}male {c |}{col 27}{res}{space 2}-.0062595{col 39}{space 2} .0101307{col 50}{space 1}   -0.62{col 59}{space 3}0.540{col 67}{space 4}-.0267042{col 80}{space 3} .0141851
{txt}{space 22}age {c |}{col 27}{res}{space 2} .0006848{col 39}{space 2} .0011343{col 50}{space 1}    0.60{col 59}{space 3}0.549{col 67}{space 4}-.0016042{col 80}{space 3} .0029739
{txt}{space 16}agesquare {c |}{col 27}{res}{space 2}-.0000157{col 39}{space 2} .0000136{col 50}{space 1}   -1.15{col 59}{space 3}0.255{col 67}{space 4}-.0000432{col 80}{space 3} .0000118
{txt}{space 22}han {c |}{col 27}{res}{space 2} .1644785{col 39}{space 2} .0565724{col 50}{space 1}    2.91{col 59}{space 3}0.006{col 67}{space 4} .0503109{col 80}{space 3} .2786462
{txt}{space 16}goodclass {c |}{col 27}{res}{space 2} .0483352{col 39}{space 2} .0191273{col 50}{space 1}    2.53{col 59}{space 3}0.015{col 67}{space 4} .0097348{col 80}{space 3} .0869356
{txt}{space 17}midclass {c |}{col 27}{res}{space 2} .0356872{col 39}{space 2}  .016247{col 50}{space 1}    2.20{col 59}{space 3}0.034{col 67}{space 4} .0028994{col 80}{space 3}  .068475
{txt}{space 8}sexratio_1964_pre {c |}{col 27}{res}{space 2}-8.550319{col 39}{space 2}  1.50533{col 50}{space 1}   -5.68{col 59}{space 3}0.000{col 67}{space 4} -11.5882{col 80}{space 3} -5.51244
{txt}{space 3}urbanpopratio_1964_pre {c |}{col 27}{res}{space 2} .0521232{col 39}{space 2} .0169546{col 50}{space 1}    3.07{col 59}{space 3}0.004{col 67}{space 4} .0179075{col 80}{space 3} .0863389
{txt}{space 7}qingrebellioncount {c |}{col 27}{res}{space 2} .1548048{col 39}{space 2} .0358411{col 50}{space 1}    4.32{col 59}{space 3}0.000{col 67}{space 4} .0824745{col 80}{space 3}  .227135
{txt}{space 11}popdensity1964 {c |}{col 27}{res}{space 2} .0019089{col 39}{space 2} .0005756{col 50}{space 1}    3.32{col 59}{space 3}0.002{col 67}{space 4} .0007473{col 80}{space 3} .0030704
{txt}{space 17}lnpergdp {c |}{col 27}{res}{space 2}-3.218466{col 39}{space 2} .6625358{col 50}{space 1}   -4.86{col 59}{space 3}0.000{col 67}{space 4}-4.555517{col 80}{space 3}-1.881415
{txt}{space 18}shouzai {c |}{col 27}{res}{space 2}-.9256762{col 39}{space 2}  .119812{col 50}{space 1}   -7.73{col 59}{space 3}0.000{col 67}{space 4}-1.167467{col 80}{space 3}-.6838858
{txt}{space 19}extrap {c |}{col 27}{res}{space 2} .2663895{col 39}{space 2} .0409876{col 50}{space 1}    6.50{col 59}{space 3}0.000{col 67}{space 4} .1836731{col 80}{space 3} .3491059
{txt}{space 22}pmd {c |}{col 27}{res}{space 2} .0647814{col 39}{space 2} .0106711{col 50}{space 1}    6.07{col 59}{space 3}0.000{col 67}{space 4} .0432462{col 80}{space 3} .0863165
{txt}{space 16}longitude {c |}{col 27}{res}{space 2}-.3141052{col 39}{space 2} .0418077{col 50}{space 1}   -7.51{col 59}{space 3}0.000{col 67}{space 4}-.3984766{col 80}{space 3}-.2297337
{txt}{space 17}latitude {c |}{col 27}{res}{space 2}-.2354964{col 39}{space 2} .0818822{col 50}{space 1}   -2.88{col 59}{space 3}0.006{col 67}{space 4}-.4007415{col 80}{space 3}-.0702514
{txt}{space 17}resource {c |}{col 27}{res}{space 2} .9208992{col 39}{space 2}  .163414{col 50}{space 1}    5.64{col 59}{space 3}0.000{col 67}{space 4} .5911164{col 80}{space 3} 1.250682
{txt}{space 19}colony {c |}{col 27}{res}{space 2}-.7203231{col 39}{space 2} .2120089{col 50}{space 1}   -3.40{col 59}{space 3}0.001{col 67}{space 4}-1.148174{col 80}{space 3}-.2924719
{txt}{space 19}suit_m {c |}{col 27}{res}{space 2}-.0245751{col 39}{space 2} .1901918{col 50}{space 1}   -0.13{col 59}{space 3}0.898{col 67}{space 4}-.4083976{col 80}{space 3} .3592475
{txt}{space 8}distancetobeijing {c |}{col 27}{res}{space 2}-.0064238{col 39}{space 2} .0011774{col 50}{space 1}   -5.46{col 59}{space 3}0.000{col 67}{space 4}-.0087999{col 80}{space 3}-.0040477
{txt}{space 14}riverlength {c |}{col 27}{res}{space 2}  -.00034{col 39}{space 2} .0012506{col 50}{space 1}   -0.27{col 59}{space 3}0.787{col 67}{space 4}-.0028639{col 80}{space 3} .0021838
{txt}{space 8}log_accountlength {c |}{col 27}{res}{space 2} -.450345{col 39}{space 2} .1518532{col 50}{space 1}   -2.97{col 59}{space 3}0.005{col 67}{space 4}-.7567971{col 80}{space 3}-.1438929
{txt}{space 16}_Iprov_15 {c |}{col 27}{res}{space 2} 1.886864{col 39}{space 2}  .205816{col 50}{space 1}    9.17{col 59}{space 3}0.000{col 67}{space 4} 1.471511{col 80}{space 3} 2.302218
{txt}{space 16}_Iprov_21 {c |}{col 27}{res}{space 2}-1.975509{col 39}{space 2} .5376797{col 50}{space 1}   -3.67{col 59}{space 3}0.001{col 67}{space 4}-3.060591{col 80}{space 3}-.8904278
{txt}{space 16}_Iprov_22 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 16}_Iprov_23 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 16}_Iprov_31 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 16}_Iprov_32 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 16}_Iprov_33 {c |}{col 27}{res}{space 2}  2.92648{col 39}{space 2} .6864307{col 50}{space 1}    4.26{col 59}{space 3}0.000{col 67}{space 4} 1.541207{col 80}{space 3} 4.311753
{txt}{space 16}_Iprov_34 {c |}{col 27}{res}{space 2} 1.882548{col 39}{space 2} .4573979{col 50}{space 1}    4.12{col 59}{space 3}0.000{col 67}{space 4} .9594818{col 80}{space 3} 2.805614
{txt}{space 16}_Iprov_35 {c |}{col 27}{res}{space 2}-6.730838{col 39}{space 2} .8958391{col 50}{space 1}   -7.51{col 59}{space 3}0.000{col 67}{space 4}-8.538715{col 80}{space 3}-4.922962
{txt}{space 16}_Iprov_36 {c |}{col 27}{res}{space 2}-4.539215{col 39}{space 2} .7310387{col 50}{space 1}   -6.21{col 59}{space 3}0.000{col 67}{space 4}-6.014511{col 80}{space 3}-3.063919
{txt}{space 16}_Iprov_37 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 16}_Iprov_41 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 16}_Iprov_42 {c |}{col 27}{res}{space 2}-1.047667{col 39}{space 2}  .426698{col 50}{space 1}   -2.46{col 59}{space 3}0.018{col 67}{space 4}-1.908779{col 80}{space 3} -.186556
{txt}{space 16}_Iprov_43 {c |}{col 27}{res}{space 2}-2.737381{col 39}{space 2} .5057037{col 50}{space 1}   -5.41{col 59}{space 3}0.000{col 67}{space 4}-3.757933{col 80}{space 3} -1.71683
{txt}{space 16}_Iprov_44 {c |}{col 27}{res}{space 2} 2.435573{col 39}{space 2} .9399843{col 50}{space 1}    2.59{col 59}{space 3}0.013{col 67}{space 4}  .538608{col 80}{space 3} 4.332538
{txt}{space 16}_Iprov_45 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 16}_Iprov_50 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 16}_Iprov_51 {c |}{col 27}{res}{space 2} -8.42873{col 39}{space 2} .7833156{col 50}{space 1}  -10.76{col 59}{space 3}0.000{col 67}{space 4}-10.00952{col 80}{space 3}-6.847935
{txt}{space 16}_Iprov_52 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 16}_Iprov_53 {c |}{col 27}{res}{space 2} -7.88951{col 39}{space 2} .6834561{col 50}{space 1}  -11.54{col 59}{space 3}0.000{col 67}{space 4} -9.26878{col 80}{space 3}-6.510239
{txt}{space 16}_Iprov_61 {c |}{col 27}{res}{space 2}-4.320322{col 39}{space 2} .4287498{col 50}{space 1}  -10.08{col 59}{space 3}0.000{col 67}{space 4}-5.185574{col 80}{space 3} -3.45507
{txt}{space 16}_Iprov_62 {c |}{col 27}{res}{space 2}-10.31013{col 39}{space 2} 1.010023{col 50}{space 1}  -10.21{col 59}{space 3}0.000{col 67}{space 4}-12.34844{col 80}{space 3}-8.271823
{txt}{space 16}_Iprov_64 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 16}_Iprov_65 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 20}_cons {c |}{col 27}{res}{space 2}  72.5247{col 39}{space 2}  8.70739{col 50}{space 1}    8.33{col 59}{space 3}0.000{col 67}{space 4} 54.95247{col 80}{space 3} 90.09692
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. *F-stat*
. test log_meandistancetosulphur=0

{p 0 7}{space 1}{text:( 1)}{space 1} {res}log_meandistancetosulphur = 0{p_end}

{txt}       F(  1,    42) ={res}   42.13
{txt}{col 13}Prob > F ={res}    0.0000
{txt}
{com}. estimates store table3firststage_2
{txt}
{com}. 
. xi: reg CRdeath_pop_prefecture log_meandistancetosulphur `individual_controls' `prefectural_controls' `minimum_controls' if lackingfreeexpression~=.& local==1, cl(city_id)
{txt}i.prov{col 19}_Iprov_13-65{col 39}(naturally coded; _Iprov_13 omitted)
note: _Iprov_22 omitted because of collinearity
note: _Iprov_23 omitted because of collinearity
note: _Iprov_31 omitted because of collinearity
note: _Iprov_32 omitted because of collinearity
note: _Iprov_37 omitted because of collinearity
note: _Iprov_41 omitted because of collinearity
note: _Iprov_45 omitted because of collinearity
note: _Iprov_50 omitted because of collinearity
note: _Iprov_52 omitted because of collinearity
note: _Iprov_64 omitted because of collinearity
note: _Iprov_65 omitted because of collinearity

Linear regression                               Number of obs     = {res}     1,319
                                                {txt}F(36, 42)         =  {res}   192.50
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9606
                                                {txt}Root MSE          =    {res} .20783

{txt}{ralign 91:(Std. Err. adjusted for {res:43} clusters in city_id)}
{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}   CRdeath_pop_prefecture{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      t{col 59}   P>|t|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
log_meandistancetosulphur {c |}{col 27}{res}{space 2} 3.045542{col 39}{space 2} .4315965{col 50}{space 1}    7.06{col 59}{space 3}0.000{col 67}{space 4} 2.174545{col 80}{space 3} 3.916539
{txt}{space 21}male {c |}{col 27}{res}{space 2}-.0017068{col 39}{space 2} .0087143{col 50}{space 1}   -0.20{col 59}{space 3}0.846{col 67}{space 4} -.019293{col 80}{space 3} .0158795
{txt}{space 22}age {c |}{col 27}{res}{space 2}  .000143{col 39}{space 2} .0009774{col 50}{space 1}    0.15{col 59}{space 3}0.884{col 67}{space 4}-.0018294{col 80}{space 3} .0021155
{txt}{space 16}agesquare {c |}{col 27}{res}{space 2}-7.42e-06{col 39}{space 2} .0000111{col 50}{space 1}   -0.67{col 59}{space 3}0.508{col 67}{space 4}-.0000298{col 80}{space 3}  .000015
{txt}{space 22}han {c |}{col 27}{res}{space 2} .1678043{col 39}{space 2} .0578981{col 50}{space 1}    2.90{col 59}{space 3}0.006{col 67}{space 4} .0509611{col 80}{space 3} .2846475
{txt}{space 16}goodclass {c |}{col 27}{res}{space 2} .0433478{col 39}{space 2} .0182368{col 50}{space 1}    2.38{col 59}{space 3}0.022{col 67}{space 4} .0065443{col 80}{space 3} .0801512
{txt}{space 17}midclass {c |}{col 27}{res}{space 2} .0330436{col 39}{space 2} .0198897{col 50}{space 1}    1.66{col 59}{space 3}0.104{col 67}{space 4}-.0070955{col 80}{space 3} .0731827
{txt}{space 8}sexratio_1964_pre {c |}{col 27}{res}{space 2}-8.639063{col 39}{space 2} 1.489453{col 50}{space 1}   -5.80{col 59}{space 3}0.000{col 67}{space 4} -11.6449{col 80}{space 3}-5.633224
{txt}{space 3}urbanpopratio_1964_pre {c |}{col 27}{res}{space 2} .0569763{col 39}{space 2} .0167739{col 50}{space 1}    3.40{col 59}{space 3}0.002{col 67}{space 4} .0231253{col 80}{space 3} .0908274
{txt}{space 7}qingrebellioncount {c |}{col 27}{res}{space 2} .1689414{col 39}{space 2} .0339727{col 50}{space 1}    4.97{col 59}{space 3}0.000{col 67}{space 4} .1003817{col 80}{space 3} .2375011
{txt}{space 11}popdensity1964 {c |}{col 27}{res}{space 2} .0018341{col 39}{space 2} .0005026{col 50}{space 1}    3.65{col 59}{space 3}0.001{col 67}{space 4} .0008199{col 80}{space 3} .0028484
{txt}{space 17}lnpergdp {c |}{col 27}{res}{space 2}-3.213825{col 39}{space 2} .6243133{col 50}{space 1}   -5.15{col 59}{space 3}0.000{col 67}{space 4} -4.47374{col 80}{space 3} -1.95391
{txt}{space 18}shouzai {c |}{col 27}{res}{space 2}-.9258842{col 39}{space 2} .1157342{col 50}{space 1}   -8.00{col 59}{space 3}0.000{col 67}{space 4}-1.159445{col 80}{space 3}-.6923231
{txt}{space 19}extrap {c |}{col 27}{res}{space 2} .2615447{col 39}{space 2} .0415986{col 50}{space 1}    6.29{col 59}{space 3}0.000{col 67}{space 4} .1775954{col 80}{space 3}  .345494
{txt}{space 22}pmd {c |}{col 27}{res}{space 2} .0647533{col 39}{space 2} .0103804{col 50}{space 1}    6.24{col 59}{space 3}0.000{col 67}{space 4} .0438049{col 80}{space 3} .0857018
{txt}{space 16}longitude {c |}{col 27}{res}{space 2}-.3121154{col 39}{space 2} .0415885{col 50}{space 1}   -7.50{col 59}{space 3}0.000{col 67}{space 4}-.3960443{col 80}{space 3}-.2281865
{txt}{space 17}latitude {c |}{col 27}{res}{space 2}-.2431377{col 39}{space 2} .0799816{col 50}{space 1}   -3.04{col 59}{space 3}0.004{col 67}{space 4}-.4045472{col 80}{space 3}-.0817282
{txt}{space 17}resource {c |}{col 27}{res}{space 2} .9094163{col 39}{space 2} .1669639{col 50}{space 1}    5.45{col 59}{space 3}0.000{col 67}{space 4} .5724695{col 80}{space 3} 1.246363
{txt}{space 19}colony {c |}{col 27}{res}{space 2}-.7770925{col 39}{space 2} .2003664{col 50}{space 1}   -3.88{col 59}{space 3}0.000{col 67}{space 4}-1.181448{col 80}{space 3}-.3727367
{txt}{space 19}suit_m {c |}{col 27}{res}{space 2}-.0181754{col 39}{space 2} .1832966{col 50}{space 1}   -0.10{col 59}{space 3}0.921{col 67}{space 4}-.3880829{col 80}{space 3}  .351732
{txt}{space 8}distancetobeijing {c |}{col 27}{res}{space 2}-.0064643{col 39}{space 2} .0011387{col 50}{space 1}   -5.68{col 59}{space 3}0.000{col 67}{space 4}-.0087624{col 80}{space 3}-.0041663
{txt}{space 14}riverlength {c |}{col 27}{res}{space 2}-.0003615{col 39}{space 2} .0012155{col 50}{space 1}   -0.30{col 59}{space 3}0.768{col 67}{space 4}-.0028146{col 80}{space 3} .0020915
{txt}{space 8}log_accountlength {c |}{col 27}{res}{space 2}-.4678702{col 39}{space 2} .1555392{col 50}{space 1}   -3.01{col 59}{space 3}0.004{col 67}{space 4} -.781761{col 80}{space 3}-.1539794
{txt}{space 16}_Iprov_15 {c |}{col 27}{res}{space 2} 1.882281{col 39}{space 2} .1969192{col 50}{space 1}    9.56{col 59}{space 3}0.000{col 67}{space 4} 1.484882{col 80}{space 3}  2.27968
{txt}{space 16}_Iprov_21 {c |}{col 27}{res}{space 2}-1.989691{col 39}{space 2} .5518156{col 50}{space 1}   -3.61{col 59}{space 3}0.001{col 67}{space 4}  -3.1033{col 80}{space 3} -.876082
{txt}{space 16}_Iprov_22 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 16}_Iprov_23 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 16}_Iprov_31 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 16}_Iprov_32 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 16}_Iprov_33 {c |}{col 27}{res}{space 2} 2.863844{col 39}{space 2} .6690547{col 50}{space 1}    4.28{col 59}{space 3}0.000{col 67}{space 4} 1.513637{col 80}{space 3} 4.214051
{txt}{space 16}_Iprov_34 {c |}{col 27}{res}{space 2} 1.797097{col 39}{space 2} .4437112{col 50}{space 1}    4.05{col 59}{space 3}0.000{col 67}{space 4}  .901652{col 80}{space 3} 2.692543
{txt}{space 16}_Iprov_35 {c |}{col 27}{res}{space 2}-6.750001{col 39}{space 2} .8795142{col 50}{space 1}   -7.67{col 59}{space 3}0.000{col 67}{space 4}-8.524932{col 80}{space 3}-4.975069
{txt}{space 16}_Iprov_36 {c |}{col 27}{res}{space 2}-4.644566{col 39}{space 2} .7158074{col 50}{space 1}   -6.49{col 59}{space 3}0.000{col 67}{space 4}-6.089124{col 80}{space 3}-3.200008
{txt}{space 16}_Iprov_37 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 16}_Iprov_41 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 16}_Iprov_42 {c |}{col 27}{res}{space 2}-1.118493{col 39}{space 2} .4153506{col 50}{space 1}   -2.69{col 59}{space 3}0.010{col 67}{space 4}-1.956704{col 80}{space 3}-.2802811
{txt}{space 16}_Iprov_43 {c |}{col 27}{res}{space 2}-2.874673{col 39}{space 2} .4848714{col 50}{space 1}   -5.93{col 59}{space 3}0.000{col 67}{space 4}-3.853183{col 80}{space 3}-1.896163
{txt}{space 16}_Iprov_44 {c |}{col 27}{res}{space 2} 2.397169{col 39}{space 2} .9136074{col 50}{space 1}    2.62{col 59}{space 3}0.012{col 67}{space 4} .5534351{col 80}{space 3} 4.240904
{txt}{space 16}_Iprov_45 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 16}_Iprov_50 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 16}_Iprov_51 {c |}{col 27}{res}{space 2}-8.445856{col 39}{space 2} .7647869{col 50}{space 1}  -11.04{col 59}{space 3}0.000{col 67}{space 4}-9.989258{col 80}{space 3}-6.902453
{txt}{space 16}_Iprov_52 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 16}_Iprov_53 {c |}{col 27}{res}{space 2}-7.903052{col 39}{space 2} .6889049{col 50}{space 1}  -11.47{col 59}{space 3}0.000{col 67}{space 4}-9.293319{col 80}{space 3}-6.512786
{txt}{space 16}_Iprov_61 {c |}{col 27}{res}{space 2}-4.310821{col 39}{space 2} .4344979{col 50}{space 1}   -9.92{col 59}{space 3}0.000{col 67}{space 4}-5.187674{col 80}{space 3}-3.433969
{txt}{space 16}_Iprov_62 {c |}{col 27}{res}{space 2}-10.32367{col 39}{space 2} .9932086{col 50}{space 1}  -10.39{col 59}{space 3}0.000{col 67}{space 4}-12.32804{col 80}{space 3} -8.31929
{txt}{space 16}_Iprov_64 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 16}_Iprov_65 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 20}_cons {c |}{col 27}{res}{space 2} 72.67072{col 39}{space 2} 8.405048{col 50}{space 1}    8.65{col 59}{space 3}0.000{col 67}{space 4} 55.70865{col 80}{space 3}  89.6328
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. *F-stat*
. test log_meandistancetosulphur=0

{p 0 7}{space 1}{text:( 1)}{space 1} {res}log_meandistancetosulphur = 0{p_end}

{txt}       F(  1,    42) ={res}   49.79
{txt}{col 13}Prob > F ={res}    0.0000
{txt}
{com}. estimates store table3firststage_3
{txt}
{com}. 
. xi: reg CRdeath_pop_prefecture log_meandistancetosulphur `individual_controls' `prefectural_controls' `minimum_controls' if everprotested~=.& local==1, cl(city_id)
{txt}i.prov{col 19}_Iprov_13-65{col 39}(naturally coded; _Iprov_13 omitted)
note: _Iprov_22 omitted because of collinearity
note: _Iprov_23 omitted because of collinearity
note: _Iprov_31 omitted because of collinearity
note: _Iprov_32 omitted because of collinearity
note: _Iprov_37 omitted because of collinearity
note: _Iprov_41 omitted because of collinearity
note: _Iprov_45 omitted because of collinearity
note: _Iprov_50 omitted because of collinearity
note: _Iprov_52 omitted because of collinearity
note: _Iprov_64 omitted because of collinearity
note: _Iprov_65 omitted because of collinearity

Linear regression                               Number of obs     = {res}     1,461
                                                {txt}F(36, 42)         =  {res}   154.51
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.9512
                                                {txt}Root MSE          =    {res} .21344

{txt}{ralign 91:(Std. Err. adjusted for {res:43} clusters in city_id)}
{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}   CRdeath_pop_prefecture{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      t{col 59}   P>|t|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
log_meandistancetosulphur {c |}{col 27}{res}{space 2} 2.970721{col 39}{space 2} .4680192{col 50}{space 1}    6.35{col 59}{space 3}0.000{col 67}{space 4}  2.02622{col 80}{space 3} 3.915222
{txt}{space 21}male {c |}{col 27}{res}{space 2} .0100797{col 39}{space 2} .0095239{col 50}{space 1}    1.06{col 59}{space 3}0.296{col 67}{space 4}-.0091402{col 80}{space 3} .0292996
{txt}{space 22}age {c |}{col 27}{res}{space 2} .0007444{col 39}{space 2} .0015386{col 50}{space 1}    0.48{col 59}{space 3}0.631{col 67}{space 4}-.0023607{col 80}{space 3} .0038494
{txt}{space 16}agesquare {c |}{col 27}{res}{space 2}-.0000143{col 39}{space 2}  .000016{col 50}{space 1}   -0.89{col 59}{space 3}0.376{col 67}{space 4}-.0000465{col 80}{space 3}  .000018
{txt}{space 22}han {c |}{col 27}{res}{space 2}  .142719{col 39}{space 2} .0595462{col 50}{space 1}    2.40{col 59}{space 3}0.021{col 67}{space 4} .0225499{col 80}{space 3} .2628881
{txt}{space 16}goodclass {c |}{col 27}{res}{space 2} .0375854{col 39}{space 2} .0179117{col 50}{space 1}    2.10{col 59}{space 3}0.042{col 67}{space 4} .0014381{col 80}{space 3} .0737327
{txt}{space 17}midclass {c |}{col 27}{res}{space 2} .0240878{col 39}{space 2} .0210262{col 50}{space 1}    1.15{col 59}{space 3}0.258{col 67}{space 4}-.0183447{col 80}{space 3} .0665204
{txt}{space 8}sexratio_1964_pre {c |}{col 27}{res}{space 2}-7.529852{col 39}{space 2} 1.749858{col 50}{space 1}   -4.30{col 59}{space 3}0.000{col 67}{space 4}-11.06121{col 80}{space 3}-3.998495
{txt}{space 3}urbanpopratio_1964_pre {c |}{col 27}{res}{space 2} .0476924{col 39}{space 2} .0175987{col 50}{space 1}    2.71{col 59}{space 3}0.010{col 67}{space 4} .0121768{col 80}{space 3}  .083208
{txt}{space 7}qingrebellioncount {c |}{col 27}{res}{space 2}  .152024{col 39}{space 2} .0367225{col 50}{space 1}    4.14{col 59}{space 3}0.000{col 67}{space 4}  .077915{col 80}{space 3}  .226133
{txt}{space 11}popdensity1964 {c |}{col 27}{res}{space 2} .0020024{col 39}{space 2}  .000519{col 50}{space 1}    3.86{col 59}{space 3}0.000{col 67}{space 4} .0009549{col 80}{space 3} .0030498
{txt}{space 17}lnpergdp {c |}{col 27}{res}{space 2}-3.046104{col 39}{space 2} .6659197{col 50}{space 1}   -4.57{col 59}{space 3}0.000{col 67}{space 4}-4.389985{col 80}{space 3}-1.702224
{txt}{space 18}shouzai {c |}{col 27}{res}{space 2}-.8702781{col 39}{space 2} .1201874{col 50}{space 1}   -7.24{col 59}{space 3}0.000{col 67}{space 4}-1.112826{col 80}{space 3}-.6277301
{txt}{space 19}extrap {c |}{col 27}{res}{space 2} .2523267{col 39}{space 2} .0474143{col 50}{space 1}    5.32{col 59}{space 3}0.000{col 67}{space 4} .1566407{col 80}{space 3} .3480126
{txt}{space 22}pmd {c |}{col 27}{res}{space 2} .0590667{col 39}{space 2} .0117563{col 50}{space 1}    5.02{col 59}{space 3}0.000{col 67}{space 4} .0353416{col 80}{space 3} .0827918
{txt}{space 16}longitude {c |}{col 27}{res}{space 2}-.2874865{col 39}{space 2} .0509429{col 50}{space 1}   -5.64{col 59}{space 3}0.000{col 67}{space 4}-.3902935{col 80}{space 3}-.1846796
{txt}{space 17}latitude {c |}{col 27}{res}{space 2}-.2426717{col 39}{space 2} .0852468{col 50}{space 1}   -2.85{col 59}{space 3}0.007{col 67}{space 4}-.4147067{col 80}{space 3}-.0706367
{txt}{space 17}resource {c |}{col 27}{res}{space 2} .8643713{col 39}{space 2} .1660785{col 50}{space 1}    5.20{col 59}{space 3}0.000{col 67}{space 4} .5292113{col 80}{space 3} 1.199531
{txt}{space 19}colony {c |}{col 27}{res}{space 2}-.6284516{col 39}{space 2} .2222037{col 50}{space 1}   -2.83{col 59}{space 3}0.007{col 67}{space 4}-1.076877{col 80}{space 3}-.1800265
{txt}{space 19}suit_m {c |}{col 27}{res}{space 2}-.1291662{col 39}{space 2} .1983517{col 50}{space 1}   -0.65{col 59}{space 3}0.518{col 67}{space 4}-.5294561{col 80}{space 3} .2711236
{txt}{space 8}distancetobeijing {c |}{col 27}{res}{space 2}-.0059713{col 39}{space 2} .0011608{col 50}{space 1}   -5.14{col 59}{space 3}0.000{col 67}{space 4}-.0083139{col 80}{space 3}-.0036286
{txt}{space 14}riverlength {c |}{col 27}{res}{space 2}-.0005927{col 39}{space 2} .0012935{col 50}{space 1}   -0.46{col 59}{space 3}0.649{col 67}{space 4}-.0032031{col 80}{space 3} .0020176
{txt}{space 8}log_accountlength {c |}{col 27}{res}{space 2}-.4112395{col 39}{space 2} .1744523{col 50}{space 1}   -2.36{col 59}{space 3}0.023{col 67}{space 4}-.7632984{col 80}{space 3}-.0591806
{txt}{space 16}_Iprov_15 {c |}{col 27}{res}{space 2} 1.929926{col 39}{space 2} .2002304{col 50}{space 1}    9.64{col 59}{space 3}0.000{col 67}{space 4} 1.525844{col 80}{space 3} 2.334007
{txt}{space 16}_Iprov_21 {c |}{col 27}{res}{space 2}-1.849501{col 39}{space 2} .5547742{col 50}{space 1}   -3.33{col 59}{space 3}0.002{col 67}{space 4}-2.969081{col 80}{space 3}-.7299212
{txt}{space 16}_Iprov_22 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 16}_Iprov_23 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 16}_Iprov_31 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 16}_Iprov_32 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 16}_Iprov_33 {c |}{col 27}{res}{space 2} 2.497951{col 39}{space 2} .7960812{col 50}{space 1}    3.14{col 59}{space 3}0.003{col 67}{space 4} .8913936{col 80}{space 3} 4.104508
{txt}{space 16}_Iprov_34 {c |}{col 27}{res}{space 2} 1.645616{col 39}{space 2} .5041163{col 50}{space 1}    3.26{col 59}{space 3}0.002{col 67}{space 4} .6282679{col 80}{space 3} 2.662964
{txt}{space 16}_Iprov_35 {c |}{col 27}{res}{space 2} -6.80634{col 39}{space 2} .9639533{col 50}{space 1}   -7.06{col 59}{space 3}0.000{col 67}{space 4}-8.751676{col 80}{space 3}-4.861003
{txt}{space 16}_Iprov_36 {c |}{col 27}{res}{space 2}-4.356351{col 39}{space 2} .7098236{col 50}{space 1}   -6.14{col 59}{space 3}0.000{col 67}{space 4}-5.788833{col 80}{space 3}-2.923869
{txt}{space 16}_Iprov_37 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 16}_Iprov_41 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 16}_Iprov_42 {c |}{col 27}{res}{space 2}-1.072765{col 39}{space 2} .3916485{col 50}{space 1}   -2.74{col 59}{space 3}0.009{col 67}{space 4}-1.863144{col 80}{space 3}-.2823861
{txt}{space 16}_Iprov_43 {c |}{col 27}{res}{space 2}-2.748745{col 39}{space 2} .4738031{col 50}{space 1}   -5.80{col 59}{space 3}0.000{col 67}{space 4}-3.704918{col 80}{space 3}-1.792571
{txt}{space 16}_Iprov_44 {c |}{col 27}{res}{space 2} 2.050141{col 39}{space 2} .9821459{col 50}{space 1}    2.09{col 59}{space 3}0.043{col 67}{space 4} .0680902{col 80}{space 3} 4.032192
{txt}{space 16}_Iprov_45 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 16}_Iprov_50 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 16}_Iprov_51 {c |}{col 27}{res}{space 2}-8.049445{col 39}{space 2} .8088265{col 50}{space 1}   -9.95{col 59}{space 3}0.000{col 67}{space 4}-9.681723{col 80}{space 3}-6.417167
{txt}{space 16}_Iprov_52 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 16}_Iprov_53 {c |}{col 27}{res}{space 2} -7.60303{col 39}{space 2} .7450895{col 50}{space 1}  -10.20{col 59}{space 3}0.000{col 67}{space 4}-9.106681{col 80}{space 3}-6.099378
{txt}{space 16}_Iprov_61 {c |}{col 27}{res}{space 2} -4.13936{col 39}{space 2} .4386102{col 50}{space 1}   -9.44{col 59}{space 3}0.000{col 67}{space 4}-5.024511{col 80}{space 3}-3.254209
{txt}{space 16}_Iprov_62 {c |}{col 27}{res}{space 2}-9.770755{col 39}{space 2} 1.111129{col 50}{space 1}   -8.79{col 59}{space 3}0.000{col 67}{space 4} -12.0131{col 80}{space 3}-7.528407
{txt}{space 16}_Iprov_64 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 16}_Iprov_65 {c |}{col 27}{res}{space 2}        0{col 39}{txt}  (omitted)
{space 20}_cons {c |}{col 27}{res}{space 2} 67.02404{col 39}{space 2}  9.62096{col 50}{space 1}    6.97{col 59}{space 3}0.000{col 67}{space 4} 47.60816{col 80}{space 3} 86.43992
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. *F-stat*
. test log_meandistancetosulphur=0

{p 0 7}{space 1}{text:( 1)}{space 1} {res}log_meandistancetosulphur = 0{p_end}

{txt}       F(  1,    42) ={res}   40.29
{txt}{col 13}Prob > F ={res}    0.0000
{txt}
{com}. estimates store table3firststage_4
{txt}
{com}. 
. esttab table3firststage_1 table3firststage_2 table3firststage_3 table3firststage_4 using table3firststage.tex, ///
> collabels(none)  cells(b(star fmt(3)) se(par)) staraux star(* 0.10 ** 0.05 *** 0.01)  replace ///
> stats(N r2, fmt(0 3)  labels(`"N"' `"R2"')) drop(_Iprov*) title(Table 3 First Stage) 
{res}{txt}(note: file table3firststage.tex not found)
(output written to {browse  `"table3firststage.tex"'})

{com}. 
{txt}end of do-file

{com}. do "/var/folders/h7/yy_9_pys1zvgh1bl431b90_m0000gn/T//SD21778.000000"
{txt}
{com}. 
. **********************
. *Figure 3*
. **********************
. 
. interflex trustcentralhead CRdeath_pop_prefecture birthyear log_accountlength _Iprov_21-_Iprov_65, cl(city_id) ylabel(Trust in Central Leaders) dlabel(Cultural Revolution Violence) xlabel(Year of Birth) sav(figure3.gph)
{txt}p value of Wald test: {res}0.0000
{txt}
{com}. 
. **********************
. *Figure 4*
. **********************
. 
. interflex trustcentralhead CRdeath_pop_prefecture familydiscuss log_accountlength _Iprov_21-_Iprov_65 if birthyear>=1977, cl(city_id) ylabel(Trust in Central Leaders) dlabel(Cultural Revolution Violence) xlabel(Discussing Politics with Family) sav(figure4.gph)
{txt}p value of Wald test: {res}0.1056
{txt}
{com}. 
. 
{txt}end of do-file

{com}. do "/var/folders/h7/yy_9_pys1zvgh1bl431b90_m0000gn/T//SD21778.000000"
{txt}
{com}. 
. ********************************************************************************
. *Tables and Figures in the Online Appendix*
. ********************************************************************************
. 
. use "chinasurvey.dta",clear
{txt}
{com}. 
. **************************
. *Table 1.1*
. **************************
. 
. tab trustcentralhead if local==1

      {txt}trust {c |}
    central {c |}
      heads {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}         68        3.53        3.53
{txt}          2 {c |}{res}        171        8.89       12.42
{txt}          3 {c |}{res}        738       38.36       50.78
{txt}          4 {c |}{res}        947       49.22      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,924      100.00
{txt}
{com}. tab lackingdemocracy if local==1

{txt}critical of {c |}
    China's {c |}
  democracy {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        199       11.30       11.30
{txt}          1 {c |}{res}        165        9.37       20.67
{txt}          2 {c |}{res}        207       11.75       32.42
{txt}          3 {c |}{res}        174        9.88       42.31
{txt}          4 {c |}{res}        152        8.63       50.94
{txt}          5 {c |}{res}        380       21.58       72.52
{txt}          6 {c |}{res}        147        8.35       80.86
{txt}          7 {c |}{res}        116        6.59       87.45
{txt}          8 {c |}{res}        108        6.13       93.58
{txt}          9 {c |}{res}         43        2.44       96.02
{txt}         10 {c |}{res}         70        3.98      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,761      100.00
{txt}
{com}. tab lackingfreeexpression if local==1

{txt}critical of {c |}
    China's {c |}
 freedom of {c |}
 expression {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}        425       22.08       22.08
{txt}          1 {c |}{res}        245       12.73       34.81
{txt}          2 {c |}{res}        276       14.34       49.14
{txt}          3 {c |}{res}        172        8.94       58.08
{txt}          4 {c |}{res}        129        6.70       64.78
{txt}          5 {c |}{res}        311       16.16       80.94
{txt}          6 {c |}{res}        104        5.40       86.34
{txt}          7 {c |}{res}         86        4.47       90.81
{txt}          8 {c |}{res}         79        4.10       94.91
{txt}          9 {c |}{res}         43        2.23       97.14
{txt}         10 {c |}{res}         55        2.86      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      1,925      100.00
{txt}
{com}. tab protest if local==1

  {txt}frequency {c |}
 of protest {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          1 {c |}{res}      1,819       86.05       86.05
{txt}          2 {c |}{res}        245       11.59       97.63
{txt}          3 {c |}{res}         22        1.04       98.68
{txt}          4 {c |}{res}         21        0.99       99.67
{txt}          5 {c |}{res}          7        0.33      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      2,114      100.00
{txt}
{com}. 
{txt}end of do-file

{com}. do "/var/folders/h7/yy_9_pys1zvgh1bl431b90_m0000gn/T//SD21778.000000"
{txt}
{com}. 
. **************************
. *Table 2.1*
. **************************
. 
. global y "trustgeneral trustfamily trustrelative trustcentralhead lackingdemocracy lackingfreeexpression everprotested"
{txt}
{com}. global x "CRdeath_pop_prefecture CRdeath_pop_county CRdeath_log splag1_CRdeath_pop_prefecture_p "
{txt}
{com}. global individual_controls "male birthyear age agesquare han goodclass midclass familydiscuss sentdowngeneration"
{txt}
{com}. global minimum_controls "log_accountlength"
{txt}
{com}. global prefectural_controls "sexratio_1964_pre urbanpopratio_1964_pre qingrebellion popdensity1964 lnpergdp shouzai extrap pmd longitude latitude resource colony suit_m distancetobeijing riverlength"
{txt}
{com}. 
. estpost sum  $y $individual_controls $x  $minimum_controls $prefectural_controls if local==1

{txt}{space 0}{space 0}{ralign 12:}{space 1}{c |}{space 1}{ralign 9:e(count)}{space 1}{space 1}{ralign 9:e(sum_w)}{space 1}{space 1}{ralign 9:e(mean)}{space 1}{space 1}{ralign 9:e(Var)}{space 1}{space 1}{ralign 9:e(sd)}{space 1}{space 1}{ralign 9:e(min)}{space 1}{space 1}{ralign 9:e(max)}{space 1}{space 1}{ralign 9:e(sum)}{space 1}
{space 0}{hline 13}{c   +}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}{hline 11}
{space 0}{space 0}{ralign 12:trustgeneral}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     2375}}}{space 1}{space 1}{ralign 9:{res:{sf:     2375}}}{space 1}{space 1}{ralign 9:{res:{sf: .5494737}}}{space 1}{space 1}{ralign 9:{res:{sf: .2476566}}}{space 1}{space 1}{ralign 9:{res:{sf: .4976511}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:     1305}}}{space 1}
{space 0}{space 0}{ralign 12:trustfamily}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     2437}}}{space 1}{space 1}{ralign 9:{res:{sf:     2437}}}{space 1}{space 1}{ralign 9:{res:{sf: 3.874846}}}{space 1}{space 1}{ralign 9:{res:{sf: .1292398}}}{space 1}{space 1}{ralign 9:{res:{sf: .3594993}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:        4}}}{space 1}{space 1}{ralign 9:{res:{sf:     9443}}}{space 1}
{space 0}{space 0}{ralign 12:trustrelat~e}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     2420}}}{space 1}{space 1}{ralign 9:{res:{sf:     2420}}}{space 1}{space 1}{ralign 9:{res:{sf: 3.530992}}}{space 1}{space 1}{ralign 9:{res:{sf: .3268605}}}{space 1}{space 1}{ralign 9:{res:{sf: .5717172}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:        4}}}{space 1}{space 1}{ralign 9:{res:{sf:     8545}}}{space 1}
{space 0}{space 0}{ralign 12:trustcentr~d}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     1924}}}{space 1}{space 1}{ralign 9:{res:{sf:     1924}}}{space 1}{space 1}{ralign 9:{res:{sf:  3.33264}}}{space 1}{space 1}{ralign 9:{res:{sf: .6121218}}}{space 1}{space 1}{ralign 9:{res:{sf: .7823821}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:        4}}}{space 1}{space 1}{ralign 9:{res:{sf:     6412}}}{space 1}
{space 0}{space 0}{ralign 12:lackingdem~y}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     1761}}}{space 1}{space 1}{ralign 9:{res:{sf:     1761}}}{space 1}{space 1}{ralign 9:{res:{sf:  4.11925}}}{space 1}{space 1}{ralign 9:{res:{sf: 7.375544}}}{space 1}{space 1}{ralign 9:{res:{sf: 2.715795}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:       10}}}{space 1}{space 1}{ralign 9:{res:{sf:     7254}}}{space 1}
{space 0}{space 0}{ralign 12:lackingfre~n}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     1925}}}{space 1}{space 1}{ralign 9:{res:{sf:     1925}}}{space 1}{space 1}{ralign 9:{res:{sf:  3.20987}}}{space 1}{space 1}{ralign 9:{res:{sf: 7.743873}}}{space 1}{space 1}{ralign 9:{res:{sf: 2.782782}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:       10}}}{space 1}{space 1}{ralign 9:{res:{sf:     6179}}}{space 1}
{space 0}{space 0}{ralign 12:everprotes~d}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     2114}}}{space 1}{space 1}{ralign 9:{res:{sf:     2114}}}{space 1}{space 1}{ralign 9:{res:{sf:  .013245}}}{space 1}{space 1}{ralign 9:{res:{sf: .0130758}}}{space 1}{space 1}{ralign 9:{res:{sf: .1143494}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:       28}}}{space 1}
{space 0}{space 0}{ralign 12:male}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     2459}}}{space 1}{space 1}{ralign 9:{res:{sf:     2459}}}{space 1}{space 1}{ralign 9:{res:{sf: .5660838}}}{space 1}{space 1}{ralign 9:{res:{sf: .2457329}}}{space 1}{space 1}{ralign 9:{res:{sf: .4957145}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:     1392}}}{space 1}
{space 0}{space 0}{ralign 12:birthyear}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     2459}}}{space 1}{space 1}{ralign 9:{res:{sf:     2459}}}{space 1}{space 1}{ralign 9:{res:{sf: 1961.698}}}{space 1}{space 1}{ralign 9:{res:{sf: 254.5997}}}{space 1}{space 1}{ralign 9:{res:{sf: 15.95618}}}{space 1}{space 1}{ralign 9:{res:{sf:     1916}}}{space 1}{space 1}{ralign 9:{res:{sf:     1990}}}{space 1}{space 1}{ralign 9:{res:{sf:  4823816}}}{space 1}
{space 0}{space 0}{ralign 12:age}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     2459}}}{space 1}{space 1}{ralign 9:{res:{sf:     2459}}}{space 1}{space 1}{ralign 9:{res:{sf: 46.30175}}}{space 1}{space 1}{ralign 9:{res:{sf: 254.5997}}}{space 1}{space 1}{ralign 9:{res:{sf: 15.95618}}}{space 1}{space 1}{ralign 9:{res:{sf:       18}}}{space 1}{space 1}{ralign 9:{res:{sf:       92}}}{space 1}{space 1}{ralign 9:{res:{sf:   113856}}}{space 1}
{space 0}{space 0}{ralign 12:agesquare}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     2459}}}{space 1}{space 1}{ralign 9:{res:{sf:     2459}}}{space 1}{space 1}{ralign 9:{res:{sf: 2398.348}}}{space 1}{space 1}{ralign 9:{res:{sf:  2444322}}}{space 1}{space 1}{ralign 9:{res:{sf: 1563.433}}}{space 1}{space 1}{ralign 9:{res:{sf:      324}}}{space 1}{space 1}{ralign 9:{res:{sf:     8464}}}{space 1}{space 1}{ralign 9:{res:{sf:  5897538}}}{space 1}
{space 0}{space 0}{ralign 12:han}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     2459}}}{space 1}{space 1}{ralign 9:{res:{sf:     2459}}}{space 1}{space 1}{ralign 9:{res:{sf: .8328589}}}{space 1}{space 1}{ralign 9:{res:{sf: .1392616}}}{space 1}{space 1}{ralign 9:{res:{sf: .3731777}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:     2048}}}{space 1}
{space 0}{space 0}{ralign 12:goodclass}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     2186}}}{space 1}{space 1}{ralign 9:{res:{sf:     2186}}}{space 1}{space 1}{ralign 9:{res:{sf: .7941446}}}{space 1}{space 1}{ralign 9:{res:{sf: .1635538}}}{space 1}{space 1}{ralign 9:{res:{sf: .4044179}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:     1736}}}{space 1}
{space 0}{space 0}{ralign 12:midclass}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     2186}}}{space 1}{space 1}{ralign 9:{res:{sf:     2186}}}{space 1}{space 1}{ralign 9:{res:{sf: .1660567}}}{space 1}{space 1}{ralign 9:{res:{sf: .1385453}}}{space 1}{space 1}{ralign 9:{res:{sf: .3722167}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:      363}}}{space 1}
{space 0}{space 0}{ralign 12:familydisc~s}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     1278}}}{space 1}{space 1}{ralign 9:{res:{sf:     1278}}}{space 1}{space 1}{ralign 9:{res:{sf: 2.284038}}}{space 1}{space 1}{ralign 9:{res:{sf: .8456495}}}{space 1}{space 1}{ralign 9:{res:{sf:  .919592}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:        4}}}{space 1}{space 1}{ralign 9:{res:{sf:     2919}}}{space 1}
{space 0}{space 0}{ralign 12:sentdownge~n}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     2459}}}{space 1}{space 1}{ralign 9:{res:{sf:     2459}}}{space 1}{space 1}{ralign 9:{res:{sf: .1146808}}}{space 1}{space 1}{ralign 9:{res:{sf: .1015704}}}{space 1}{space 1}{ralign 9:{res:{sf: .3187011}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:      282}}}{space 1}
{space 0}{space 0}{ralign 12:CRdeath_po~e}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     2418}}}{space 1}{space 1}{ralign 9:{res:{sf:     2418}}}{space 1}{space 1}{ralign 9:{res:{sf: .5067052}}}{space 1}{space 1}{ralign 9:{res:{sf: .8026875}}}{space 1}{space 1}{ralign 9:{res:{sf: .8959283}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:  5.02466}}}{space 1}{space 1}{ralign 9:{res:{sf: 1225.213}}}{space 1}
{space 0}{space 0}{ralign 12:CRdeath_po~y}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     2459}}}{space 1}{space 1}{ralign 9:{res:{sf:     2459}}}{space 1}{space 1}{ralign 9:{res:{sf: .7225335}}}{space 1}{space 1}{ralign 9:{res:{sf: 7.954047}}}{space 1}{space 1}{ralign 9:{res:{sf: 2.820292}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:  22.5694}}}{space 1}{space 1}{ralign 9:{res:{sf:  1776.71}}}{space 1}
{space 0}{space 0}{ralign 12:CRdeath_log}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     2418}}}{space 1}{space 1}{ralign 9:{res:{sf:     2418}}}{space 1}{space 1}{ralign 9:{res:{sf: .3145892}}}{space 1}{space 1}{ralign 9:{res:{sf: .1469335}}}{space 1}{space 1}{ralign 9:{res:{sf:  .383319}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf: 1.795861}}}{space 1}{space 1}{ralign 9:{res:{sf: 760.6766}}}{space 1}
{space 0}{space 0}{ralign 12:splag1_CRd~p}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     2182}}}{space 1}{space 1}{ralign 9:{res:{sf:     2182}}}{space 1}{space 1}{ralign 9:{res:{sf: .4809109}}}{space 1}{space 1}{ralign 9:{res:{sf:  .058414}}}{space 1}{space 1}{ralign 9:{res:{sf:   .24169}}}{space 1}{space 1}{ralign 9:{res:{sf: .2706857}}}{space 1}{space 1}{ralign 9:{res:{sf: 1.484466}}}{space 1}{space 1}{ralign 9:{res:{sf: 1049.348}}}{space 1}
{space 0}{space 0}{ralign 12:log_accoun~h}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     2450}}}{space 1}{space 1}{ralign 9:{res:{sf:     2450}}}{space 1}{space 1}{ralign 9:{res:{sf: 8.342384}}}{space 1}{space 1}{ralign 9:{res:{sf: .1918311}}}{space 1}{space 1}{ralign 9:{res:{sf: .4379853}}}{space 1}{space 1}{ralign 9:{res:{sf: 7.424762}}}{space 1}{space 1}{ralign 9:{res:{sf: 9.586514}}}{space 1}{space 1}{ralign 9:{res:{sf: 20438.84}}}{space 1}
{space 0}{space 0}{ralign 12:sexratio_1~e}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     2418}}}{space 1}{space 1}{ralign 9:{res:{sf:     2418}}}{space 1}{space 1}{ralign 9:{res:{sf: 1.056123}}}{space 1}{space 1}{ralign 9:{res:{sf:   .00421}}}{space 1}{space 1}{ralign 9:{res:{sf: .0648847}}}{space 1}{space 1}{ralign 9:{res:{sf: .8602216}}}{space 1}{space 1}{ralign 9:{res:{sf: 1.328381}}}{space 1}{space 1}{ralign 9:{res:{sf: 2553.705}}}{space 1}
{space 0}{space 0}{ralign 12:urbanpopra~e}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     2409}}}{space 1}{space 1}{ralign 9:{res:{sf:     2409}}}{space 1}{space 1}{ralign 9:{res:{sf: 9.859807}}}{space 1}{space 1}{ralign 9:{res:{sf: 26.94618}}}{space 1}{space 1}{ralign 9:{res:{sf: 5.190971}}}{space 1}{space 1}{ralign 9:{res:{sf: 2.578082}}}{space 1}{space 1}{ralign 9:{res:{sf: 25.02032}}}{space 1}{space 1}{ralign 9:{res:{sf: 23752.27}}}{space 1}
{space 0}{space 0}{ralign 12:qingrebell~t}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     2223}}}{space 1}{space 1}{ralign 9:{res:{sf:     2223}}}{space 1}{space 1}{ralign 9:{res:{sf: 1.008097}}}{space 1}{space 1}{ralign 9:{res:{sf: 3.062041}}}{space 1}{space 1}{ralign 9:{res:{sf: 1.749869}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:       10}}}{space 1}{space 1}{ralign 9:{res:{sf:     2241}}}{space 1}
{space 0}{space 0}{ralign 12:popdens~1964}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     2214}}}{space 1}{space 1}{ralign 9:{res:{sf:     2214}}}{space 1}{space 1}{ralign 9:{res:{sf: 195.7303}}}{space 1}{space 1}{ralign 9:{res:{sf: 21126.63}}}{space 1}{space 1}{ralign 9:{res:{sf:   145.35}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf: 697.6902}}}{space 1}{space 1}{ralign 9:{res:{sf: 433346.8}}}{space 1}
{space 0}{space 0}{ralign 12:lnpergdp}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     2179}}}{space 1}{space 1}{ralign 9:{res:{sf:     2179}}}{space 1}{space 1}{ralign 9:{res:{sf:  5.58315}}}{space 1}{space 1}{ralign 9:{res:{sf: .1579026}}}{space 1}{space 1}{ralign 9:{res:{sf: .3973697}}}{space 1}{space 1}{ralign 9:{res:{sf: 4.579089}}}{space 1}{space 1}{ralign 9:{res:{sf: 6.598947}}}{space 1}{space 1}{ralign 9:{res:{sf: 12165.68}}}{space 1}
{space 0}{space 0}{ralign 12:shouzai}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     2179}}}{space 1}{space 1}{ralign 9:{res:{sf:     2179}}}{space 1}{space 1}{ralign 9:{res:{sf: 13.74942}}}{space 1}{space 1}{ralign 9:{res:{sf: 27.11549}}}{space 1}{space 1}{ralign 9:{res:{sf: 5.207253}}}{space 1}{space 1}{ralign 9:{res:{sf:    6.056}}}{space 1}{space 1}{ralign 9:{res:{sf: 23.62455}}}{space 1}{space 1}{ralign 9:{res:{sf: 29959.99}}}{space 1}
{space 0}{space 0}{ralign 12:extrap}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     2179}}}{space 1}{space 1}{ralign 9:{res:{sf:     2179}}}{space 1}{space 1}{ralign 9:{res:{sf: 1.688808}}}{space 1}{space 1}{ralign 9:{res:{sf: 5.501915}}}{space 1}{space 1}{ralign 9:{res:{sf: 2.345616}}}{space 1}{space 1}{ralign 9:{res:{sf:-2.103818}}}{space 1}{space 1}{ralign 9:{res:{sf: 5.992727}}}{space 1}{space 1}{ralign 9:{res:{sf: 3679.913}}}{space 1}
{space 0}{space 0}{ralign 12:pmd}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     1933}}}{space 1}{space 1}{ralign 9:{res:{sf:     1933}}}{space 1}{space 1}{ralign 9:{res:{sf: 64.32429}}}{space 1}{space 1}{ralign 9:{res:{sf: 236.6762}}}{space 1}{space 1}{ralign 9:{res:{sf: 15.38428}}}{space 1}{space 1}{ralign 9:{res:{sf: 37.57143}}}{space 1}{space 1}{ralign 9:{res:{sf:     94.4}}}{space 1}{space 1}{ralign 9:{res:{sf: 124338.9}}}{space 1}
{space 0}{space 0}{ralign 12:longitude}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     2223}}}{space 1}{space 1}{ralign 9:{res:{sf:     2223}}}{space 1}{space 1}{ralign 9:{res:{sf: 113.5602}}}{space 1}{space 1}{ralign 9:{res:{sf: 54.82878}}}{space 1}{space 1}{ralign 9:{res:{sf: 7.404646}}}{space 1}{space 1}{ralign 9:{res:{sf: 87.61156}}}{space 1}{space 1}{ralign 9:{res:{sf: 126.6433}}}{space 1}{space 1}{ralign 9:{res:{sf: 252444.4}}}{space 1}
{space 0}{space 0}{ralign 12:latitude}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     2223}}}{space 1}{space 1}{ralign 9:{res:{sf:     2223}}}{space 1}{space 1}{ralign 9:{res:{sf: 32.79897}}}{space 1}{space 1}{ralign 9:{res:{sf: 47.32199}}}{space 1}{space 1}{ralign 9:{res:{sf: 6.879098}}}{space 1}{space 1}{ralign 9:{res:{sf:  21.2774}}}{space 1}{space 1}{ralign 9:{res:{sf:  47.3602}}}{space 1}{space 1}{ralign 9:{res:{sf:  72912.1}}}{space 1}
{space 0}{space 0}{ralign 12:resource}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     2223}}}{space 1}{space 1}{ralign 9:{res:{sf:     2223}}}{space 1}{space 1}{ralign 9:{res:{sf: .6783626}}}{space 1}{space 1}{ralign 9:{res:{sf:  .218285}}}{space 1}{space 1}{ralign 9:{res:{sf: .4672098}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:     1508}}}{space 1}
{space 0}{space 0}{ralign 12:colony}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     2223}}}{space 1}{space 1}{ralign 9:{res:{sf:     2223}}}{space 1}{space 1}{ralign 9:{res:{sf: .0728745}}}{space 1}{space 1}{ralign 9:{res:{sf: .0675942}}}{space 1}{space 1}{ralign 9:{res:{sf: .2599889}}}{space 1}{space 1}{ralign 9:{res:{sf:        0}}}{space 1}{space 1}{ralign 9:{res:{sf:        1}}}{space 1}{space 1}{ralign 9:{res:{sf:      162}}}{space 1}
{space 0}{space 0}{ralign 12:suit_m}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     2223}}}{space 1}{space 1}{ralign 9:{res:{sf:     2223}}}{space 1}{space 1}{ralign 9:{res:{sf: 1.732804}}}{space 1}{space 1}{ralign 9:{res:{sf: .3301147}}}{space 1}{space 1}{ralign 9:{res:{sf: .5745561}}}{space 1}{space 1}{ralign 9:{res:{sf: .9694653}}}{space 1}{space 1}{ralign 9:{res:{sf: 3.274648}}}{space 1}{space 1}{ralign 9:{res:{sf: 3852.024}}}{space 1}
{space 0}{space 0}{ralign 12:distanceto~g}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     2223}}}{space 1}{space 1}{ralign 9:{res:{sf:     2223}}}{space 1}{space 1}{ralign 9:{res:{sf: 1137.916}}}{space 1}{space 1}{ralign 9:{res:{sf: 410725.2}}}{space 1}{space 1}{ralign 9:{res:{sf: 640.8784}}}{space 1}{space 1}{ralign 9:{res:{sf: 140.1176}}}{space 1}{space 1}{ralign 9:{res:{sf: 2416.937}}}{space 1}{space 1}{ralign 9:{res:{sf:  2529588}}}{space 1}
{space 0}{space 0}{ralign 12:riverlength}{space 1}{c |}{space 1}{ralign 9:{res:{sf:     2223}}}{space 1}{space 1}{ralign 9:{res:{sf:     2223}}}{space 1}{space 1}{ralign 9:{res:{sf: 88.84516}}}{space 1}{space 1}{ralign 9:{res:{sf: 3130.476}}}{space 1}{space 1}{ralign 9:{res:{sf: 55.95066}}}{space 1}{space 1}{ralign 9:{res:{sf: 8.237765}}}{space 1}{space 1}{ralign 9:{res:{sf: 285.5418}}}{space 1}{space 1}{ralign 9:{res:{sf: 197502.8}}}{space 1}

{com}. 
. esttab, cells("count mean sd min max") noobs
{res}
{txt}{hline 77}
{txt}                      (1)                                                    
{txt}                                                                             
{txt}                    count         mean           sd          min          max
{txt}{hline 77}
{txt}trustgeneral{res}         2375     .5494737     .4976511            0            1{txt}
{txt}trustfamily {res}         2437     3.874846     .3594993            1            4{txt}
{txt}trustrelat~e{res}         2420     3.530992     .5717172            1            4{txt}
{txt}trustcentr~d{res}         1924      3.33264     .7823821            1            4{txt}
{txt}lackingdem~y{res}         1761      4.11925     2.715795            0           10{txt}
{txt}lackingfre~n{res}         1925      3.20987     2.782782            0           10{txt}
{txt}everprotes~d{res}         2114      .013245     .1143494            0            1{txt}
{txt}male        {res}         2459     .5660838     .4957145            0            1{txt}
{txt}birthyear   {res}         2459     1961.698     15.95618         1916         1990{txt}
{txt}age         {res}         2459     46.30175     15.95618           18           92{txt}
{txt}agesquare   {res}         2459     2398.348     1563.433          324         8464{txt}
{txt}han         {res}         2459     .8328589     .3731777            0            1{txt}
{txt}goodclass   {res}         2186     .7941446     .4044179            0            1{txt}
{txt}midclass    {res}         2186     .1660567     .3722167            0            1{txt}
{txt}familydisc~s{res}         1278     2.284038      .919592            1            4{txt}
{txt}sentdownge~n{res}         2459     .1146808     .3187011            0            1{txt}
{txt}CRdeath_po~e{res}         2418     .5067052     .8959283            0      5.02466{txt}
{txt}CRdeath_po~y{res}         2459     .7225335     2.820292            0      22.5694{txt}
{txt}CRdeath_log {res}         2418     .3145892      .383319            0     1.795861{txt}
{txt}splag1_CRd~p{res}         2182     .4809109       .24169     .2706857     1.484466{txt}
{txt}log_accoun~h{res}         2450     8.342384     .4379853     7.424762     9.586514{txt}
{txt}sexratio_1~e{res}         2418     1.056123     .0648847     .8602216     1.328381{txt}
{txt}urbanpopra~e{res}         2409     9.859807     5.190971     2.578082     25.02032{txt}
{txt}qingrebell~t{res}         2223     1.008097     1.749869            0           10{txt}
{txt}popdens~1964{res}         2214     195.7303       145.35            0     697.6902{txt}
{txt}lnpergdp    {res}         2179      5.58315     .3973697     4.579089     6.598947{txt}
{txt}shouzai     {res}         2179     13.74942     5.207253        6.056     23.62455{txt}
{txt}extrap      {res}         2179     1.688808     2.345616    -2.103818     5.992727{txt}
{txt}pmd         {res}         1933     64.32429     15.38428     37.57143         94.4{txt}
{txt}longitude   {res}         2223     113.5602     7.404646     87.61156     126.6433{txt}
{txt}latitude    {res}         2223     32.79897     6.879098      21.2774      47.3602{txt}
{txt}resource    {res}         2223     .6783626     .4672098            0            1{txt}
{txt}colony      {res}         2223     .0728745     .2599889            0            1{txt}
{txt}suit_m      {res}         2223     1.732804     .5745561     .9694653     3.274648{txt}
{txt}distanceto~g{res}         2223     1137.916     640.8784     140.1176     2416.937{txt}
{txt}riverlength {res}         2223     88.84516     55.95066     8.237765     285.5418{txt}
{txt}{hline 77}

{com}. 
{txt}end of do-file

{com}. do "/var/folders/h7/yy_9_pys1zvgh1bl431b90_m0000gn/T//SD21778.000000"
{txt}
{com}. 
. **************************
. *Table 2.2*
. **************************
. 
. local individual_controls "male age agesquare han goodclass midclass"
{txt}
{com}. local prefectural_controls "sexratio_1964_pre urbanpopratio_1964_pre qingrebellion popdensity1964 lnpergdp shouzai extrap pmd longitude latitude resource colony suit_m distancetobeijing riverlength"
{txt}
{com}. local minimum_controls "log_accountlength i.prov"
{txt}
{com}. 
. xi:reg trustgeneral CRdeath_pop_prefecture `minimum_controls' if local==1,cl(city_id)
{txt}i.prov{col 19}_Iprov_13-65{col 39}(naturally coded; _Iprov_13 omitted)

Linear regression                               Number of obs     = {res}     2,337
                                                {txt}{help j_robustsingular:F(21, 56) }        =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.0574
                                                {txt}Root MSE          =    {res} .48562

{txt}{ralign 88:(Std. Err. adjusted for {res:57} clusters in city_id)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}          trustgeneral{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
CRdeath_pop_prefecture {c |}{col 24}{res}{space 2} .0275008{col 36}{space 2} .0167775{col 47}{space 1}    1.64{col 56}{space 3}0.107{col 64}{space 4}-.0061087{col 77}{space 3} .0611102
{txt}{space 5}log_accountlength {c |}{col 24}{res}{space 2} .0523612{col 36}{space 2} .0529917{col 47}{space 1}    0.99{col 56}{space 3}0.327{col 64}{space 4} -.053794{col 77}{space 3} .1585164
{txt}{space 13}_Iprov_15 {c |}{col 24}{res}{space 2} .0660846{col 36}{space 2} .0458426{col 47}{space 1}    1.44{col 56}{space 3}0.155{col 64}{space 4}-.0257493{col 77}{space 3} .1579184
{txt}{space 13}_Iprov_21 {c |}{col 24}{res}{space 2}-.0700847{col 36}{space 2}  .171396{col 47}{space 1}   -0.41{col 56}{space 3}0.684{col 64}{space 4}-.4134322{col 77}{space 3} .2732628
{txt}{space 13}_Iprov_22 {c |}{col 24}{res}{space 2} .0517713{col 36}{space 2} .0196512{col 47}{space 1}    2.63{col 56}{space 3}0.011{col 64}{space 4} .0124051{col 77}{space 3} .0911374
{txt}{space 13}_Iprov_23 {c |}{col 24}{res}{space 2} .0591764{col 36}{space 2} .0537873{col 47}{space 1}    1.10{col 56}{space 3}0.276{col 64}{space 4}-.0485725{col 77}{space 3} .1669252
{txt}{space 13}_Iprov_31 {c |}{col 24}{res}{space 2}-.0194118{col 36}{space 2} .0138048{col 47}{space 1}   -1.41{col 56}{space 3}0.165{col 64}{space 4}-.0470662{col 77}{space 3} .0082426
{txt}{space 13}_Iprov_32 {c |}{col 24}{res}{space 2} .1200324{col 36}{space 2} .0881072{col 47}{space 1}    1.36{col 56}{space 3}0.179{col 64}{space 4}-.0564676{col 77}{space 3} .2965324
{txt}{space 13}_Iprov_33 {c |}{col 24}{res}{space 2} .0806422{col 36}{space 2} .0540293{col 47}{space 1}    1.49{col 56}{space 3}0.141{col 64}{space 4}-.0275916{col 77}{space 3}  .188876
{txt}{space 13}_Iprov_34 {c |}{col 24}{res}{space 2} .1189938{col 36}{space 2} .0516513{col 47}{space 1}    2.30{col 56}{space 3}0.025{col 64}{space 4} .0155238{col 77}{space 3} .2224637
{txt}{space 13}_Iprov_35 {c |}{col 24}{res}{space 2}-.1921619{col 36}{space 2} .0369204{col 47}{space 1}   -5.20{col 56}{space 3}0.000{col 64}{space 4}-.2661224{col 77}{space 3}-.1182015
{txt}{space 13}_Iprov_36 {c |}{col 24}{res}{space 2}-.0106476{col 36}{space 2} .0603104{col 47}{space 1}   -0.18{col 56}{space 3}0.861{col 64}{space 4}-.1314638{col 77}{space 3} .1101687
{txt}{space 13}_Iprov_37 {c |}{col 24}{res}{space 2} .0970644{col 36}{space 2} .0937226{col 47}{space 1}    1.04{col 56}{space 3}0.305{col 64}{space 4}-.0906844{col 77}{space 3} .2848133
{txt}{space 13}_Iprov_41 {c |}{col 24}{res}{space 2} .0460688{col 36}{space 2} .0316859{col 47}{space 1}    1.45{col 56}{space 3}0.152{col 64}{space 4}-.0174056{col 77}{space 3} .1095432
{txt}{space 13}_Iprov_42 {c |}{col 24}{res}{space 2} .0263495{col 36}{space 2} .0490385{col 47}{space 1}    0.54{col 56}{space 3}0.593{col 64}{space 4}-.0718864{col 77}{space 3} .1245854
{txt}{space 13}_Iprov_43 {c |}{col 24}{res}{space 2}-.0391877{col 36}{space 2} .0450518{col 47}{space 1}   -0.87{col 56}{space 3}0.388{col 64}{space 4}-.1294373{col 77}{space 3} .0510619
{txt}{space 13}_Iprov_44 {c |}{col 24}{res}{space 2}-.0365163{col 36}{space 2} .0990906{col 47}{space 1}   -0.37{col 56}{space 3}0.714{col 64}{space 4}-.2350187{col 77}{space 3} .1619861
{txt}{space 13}_Iprov_45 {c |}{col 24}{res}{space 2}-.2705172{col 36}{space 2} .0645822{col 47}{space 1}   -4.19{col 56}{space 3}0.000{col 64}{space 4}-.3998908{col 77}{space 3}-.1411435
{txt}{space 13}_Iprov_50 {c |}{col 24}{res}{space 2} .0582983{col 36}{space 2} .0171162{col 47}{space 1}    3.41{col 56}{space 3}0.001{col 64}{space 4} .0240104{col 77}{space 3} .0925863
{txt}{space 13}_Iprov_51 {c |}{col 24}{res}{space 2}-.0474955{col 36}{space 2} .0566332{col 47}{space 1}   -0.84{col 56}{space 3}0.405{col 64}{space 4}-.1609454{col 77}{space 3} .0659544
{txt}{space 13}_Iprov_52 {c |}{col 24}{res}{space 2}-.1694955{col 36}{space 2}  .010204{col 47}{space 1}  -16.61{col 56}{space 3}0.000{col 64}{space 4}-.1899365{col 77}{space 3}-.1490545
{txt}{space 13}_Iprov_53 {c |}{col 24}{res}{space 2}-.2217438{col 36}{space 2} .0434059{col 47}{space 1}   -5.11{col 56}{space 3}0.000{col 64}{space 4}-.3086962{col 77}{space 3}-.1347913
{txt}{space 13}_Iprov_61 {c |}{col 24}{res}{space 2}-.0857827{col 36}{space 2} .0461297{col 47}{space 1}   -1.86{col 56}{space 3}0.068{col 64}{space 4}-.1781915{col 77}{space 3} .0066261
{txt}{space 13}_Iprov_62 {c |}{col 24}{res}{space 2} .1129806{col 36}{space 2} .0256618{col 47}{space 1}    4.40{col 56}{space 3}0.000{col 64}{space 4} .0615738{col 77}{space 3} .1643874
{txt}{space 13}_Iprov_64 {c |}{col 24}{res}{space 2} .0457936{col 36}{space 2}  .026869{col 47}{space 1}    1.70{col 56}{space 3}0.094{col 64}{space 4}-.0080316{col 77}{space 3} .0996187
{txt}{space 13}_Iprov_65 {c |}{col 24}{res}{space 2}-.3921477{col 36}{space 2} .1400647{col 47}{space 1}   -2.80{col 56}{space 3}0.007{col 64}{space 4}-.6727309{col 77}{space 3}-.1115644
{txt}{space 17}_cons {c |}{col 24}{res}{space 2} .1326194{col 36}{space 2} .4587591{col 47}{space 1}    0.29{col 56}{space 3}0.774{col 64}{space 4}-.7863855{col 77}{space 3} 1.051624
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. estimates store table2_2_1
{txt}
{com}. 
. xi:reg trustgeneral CRdeath_pop_prefecture `individual_controls' `prefectural_controls' `minimum_controls' if local==1,cl(city_id)
{txt}i.prov{col 19}_Iprov_13-65{col 39}(naturally coded; _Iprov_13 omitted)
note: _Iprov_22 omitted because of collinearity
note: _Iprov_23 omitted because of collinearity
note: _Iprov_31 omitted because of collinearity
note: _Iprov_32 omitted because of collinearity
note: _Iprov_37 omitted because of collinearity
note: _Iprov_41 omitted because of collinearity
note: _Iprov_45 omitted because of collinearity
note: _Iprov_50 omitted because of collinearity
note: _Iprov_52 omitted because of collinearity
note: _Iprov_64 omitted because of collinearity
note: _Iprov_65 omitted because of collinearity

Linear regression                               Number of obs     = {res}     1,623
                                                {txt}F(36, 42)         =  {res}   442.24
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0547
                                                {txt}Root MSE          =    {res} .48909

{txt}{ralign 88:(Std. Err. adjusted for {res:43} clusters in city_id)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}          trustgeneral{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
CRdeath_pop_prefecture {c |}{col 24}{res}{space 2} .0476004{col 36}{space 2} .0247767{col 47}{space 1}    1.92{col 56}{space 3}0.062{col 64}{space 4} -.002401{col 77}{space 3} .0976018
{txt}{space 18}male {c |}{col 24}{res}{space 2}-.0188492{col 36}{space 2} .0245373{col 47}{space 1}   -0.77{col 56}{space 3}0.447{col 64}{space 4}-.0683675{col 77}{space 3} .0306691
{txt}{space 19}age {c |}{col 24}{res}{space 2} .0073928{col 36}{space 2} .0061652{col 47}{space 1}    1.20{col 56}{space 3}0.237{col 64}{space 4} -.005049{col 77}{space 3} .0198346
{txt}{space 13}agesquare {c |}{col 24}{res}{space 2}-.0000569{col 36}{space 2} .0000592{col 47}{space 1}   -0.96{col 56}{space 3}0.342{col 64}{space 4}-.0001764{col 77}{space 3} .0000625
{txt}{space 19}han {c |}{col 24}{res}{space 2}  .034456{col 36}{space 2} .0569999{col 47}{space 1}    0.60{col 56}{space 3}0.549{col 64}{space 4}-.0805745{col 77}{space 3} .1494865
{txt}{space 13}goodclass {c |}{col 24}{res}{space 2}-.0176163{col 36}{space 2} .0659541{col 47}{space 1}   -0.27{col 56}{space 3}0.791{col 64}{space 4} -.150717{col 77}{space 3} .1154844
{txt}{space 14}midclass {c |}{col 24}{res}{space 2}-.0223622{col 36}{space 2} .0703463{col 47}{space 1}   -0.32{col 56}{space 3}0.752{col 64}{space 4}-.1643268{col 77}{space 3} .1196025
{txt}{space 5}sexratio_1964_pre {c |}{col 24}{res}{space 2} .8636029{col 36}{space 2} .3868725{col 47}{space 1}    2.23{col 56}{space 3}0.031{col 64}{space 4} .0828627{col 77}{space 3} 1.644343
{txt}urbanpopratio_1964_pre {c |}{col 24}{res}{space 2} .0115314{col 36}{space 2} .0056383{col 47}{space 1}    2.05{col 56}{space 3}0.047{col 64}{space 4} .0001528{col 77}{space 3} .0229101
{txt}{space 4}qingrebellioncount {c |}{col 24}{res}{space 2} .0044799{col 36}{space 2}  .007357{col 47}{space 1}    0.61{col 56}{space 3}0.546{col 64}{space 4}-.0103672{col 77}{space 3} .0193269
{txt}{space 8}popdensity1964 {c |}{col 24}{res}{space 2}-.0001027{col 36}{space 2} .0001438{col 47}{space 1}   -0.71{col 56}{space 3}0.479{col 64}{space 4} -.000393{col 77}{space 3} .0001875
{txt}{space 14}lnpergdp {c |}{col 24}{res}{space 2} .4834248{col 36}{space 2} .1981051{col 47}{space 1}    2.44{col 56}{space 3}0.019{col 64}{space 4} .0836325{col 77}{space 3} .8832172
{txt}{space 15}shouzai {c |}{col 24}{res}{space 2} .0695279{col 36}{space 2} .0312862{col 47}{space 1}    2.22{col 56}{space 3}0.032{col 64}{space 4} .0063897{col 77}{space 3} .1326661
{txt}{space 16}extrap {c |}{col 24}{res}{space 2}-.0177331{col 36}{space 2} .0143117{col 47}{space 1}   -1.24{col 56}{space 3}0.222{col 64}{space 4}-.0466153{col 77}{space 3} .0111492
{txt}{space 19}pmd {c |}{col 24}{res}{space 2}-.0013532{col 36}{space 2} .0021073{col 47}{space 1}   -0.64{col 56}{space 3}0.524{col 64}{space 4}-.0056059{col 77}{space 3} .0028994
{txt}{space 13}longitude {c |}{col 24}{res}{space 2} .0109787{col 36}{space 2} .0130882{col 47}{space 1}    0.84{col 56}{space 3}0.406{col 64}{space 4}-.0154343{col 77}{space 3} .0373916
{txt}{space 14}latitude {c |}{col 24}{res}{space 2}-.0014175{col 36}{space 2} .0226507{col 47}{space 1}   -0.06{col 56}{space 3}0.950{col 64}{space 4}-.0471284{col 77}{space 3} .0442935
{txt}{space 14}resource {c |}{col 24}{res}{space 2}-.1922915{col 36}{space 2} .0504492{col 47}{space 1}   -3.81{col 56}{space 3}0.000{col 64}{space 4} -.294102{col 77}{space 3}-.0904809
{txt}{space 16}colony {c |}{col 24}{res}{space 2} .0908275{col 36}{space 2} .0635229{col 47}{space 1}    1.43{col 56}{space 3}0.160{col 64}{space 4}-.0373669{col 77}{space 3}  .219022
{txt}{space 16}suit_m {c |}{col 24}{res}{space 2}  .134588{col 36}{space 2} .0475304{col 47}{space 1}    2.83{col 56}{space 3}0.007{col 64}{space 4} .0386677{col 77}{space 3} .2305082
{txt}{space 5}distancetobeijing {c |}{col 24}{res}{space 2} .0002871{col 36}{space 2}  .000252{col 47}{space 1}    1.14{col 56}{space 3}0.261{col 64}{space 4}-.0002215{col 77}{space 3} .0007956
{txt}{space 11}riverlength {c |}{col 24}{res}{space 2} .0000895{col 36}{space 2} .0002623{col 47}{space 1}    0.34{col 56}{space 3}0.735{col 64}{space 4}-.0004399{col 77}{space 3}  .000619
{txt}{space 5}log_accountlength {c |}{col 24}{res}{space 2}-.0278633{col 36}{space 2} .0439417{col 47}{space 1}   -0.63{col 56}{space 3}0.529{col 64}{space 4}-.1165413{col 77}{space 3} .0608147
{txt}{space 13}_Iprov_15 {c |}{col 24}{res}{space 2}-.0650254{col 36}{space 2} .0600826{col 47}{space 1}   -1.08{col 56}{space 3}0.285{col 64}{space 4}-.1862771{col 77}{space 3} .0562263
{txt}{space 13}_Iprov_21 {c |}{col 24}{res}{space 2}-.1521502{col 36}{space 2} .1915224{col 47}{space 1}   -0.79{col 56}{space 3}0.431{col 64}{space 4}-.5386579{col 77}{space 3} .2343576
{txt}{space 13}_Iprov_22 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_23 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_31 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_32 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_33 {c |}{col 24}{res}{space 2}-.4830215{col 36}{space 2} .2233182{col 47}{space 1}   -2.16{col 56}{space 3}0.036{col 64}{space 4}-.9336959{col 77}{space 3}-.0323471
{txt}{space 13}_Iprov_34 {c |}{col 24}{res}{space 2}-.2938368{col 36}{space 2} .1409044{col 47}{space 1}   -2.09{col 56}{space 3}0.043{col 64}{space 4}-.5781934{col 77}{space 3}-.0094803
{txt}{space 13}_Iprov_35 {c |}{col 24}{res}{space 2} .0928072{col 36}{space 2} .2662627{col 47}{space 1}    0.35{col 56}{space 3}0.729{col 64}{space 4}-.4445326{col 77}{space 3}  .630147
{txt}{space 13}_Iprov_36 {c |}{col 24}{res}{space 2}-.0594729{col 36}{space 2} .2172779{col 47}{space 1}   -0.27{col 56}{space 3}0.786{col 64}{space 4}-.4979575{col 77}{space 3} .3790117
{txt}{space 13}_Iprov_37 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_41 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_42 {c |}{col 24}{res}{space 2}-.2026676{col 36}{space 2} .1257139{col 47}{space 1}   -1.61{col 56}{space 3}0.114{col 64}{space 4}-.4563686{col 77}{space 3} .0510334
{txt}{space 13}_Iprov_43 {c |}{col 24}{res}{space 2}-.0215216{col 36}{space 2}  .156062{col 47}{space 1}   -0.14{col 56}{space 3}0.891{col 64}{space 4}-.3364674{col 77}{space 3} .2934243
{txt}{space 13}_Iprov_44 {c |}{col 24}{res}{space 2}-.3820906{col 36}{space 2} .2748847{col 47}{space 1}   -1.39{col 56}{space 3}0.172{col 64}{space 4}-.9368305{col 77}{space 3} .1726492
{txt}{space 13}_Iprov_45 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_50 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_51 {c |}{col 24}{res}{space 2}  .513698{col 36}{space 2} .2649591{col 47}{space 1}    1.94{col 56}{space 3}0.059{col 64}{space 4}-.0210112{col 77}{space 3} 1.048407
{txt}{space 13}_Iprov_52 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_53 {c |}{col 24}{res}{space 2} .3017051{col 36}{space 2} .2532171{col 47}{space 1}    1.19{col 56}{space 3}0.240{col 64}{space 4}-.2093077{col 77}{space 3} .8127179
{txt}{space 13}_Iprov_61 {c |}{col 24}{res}{space 2} .2085116{col 36}{space 2} .1440261{col 47}{space 1}    1.45{col 56}{space 3}0.155{col 64}{space 4}-.0821448{col 77}{space 3} .4991679
{txt}{space 13}_Iprov_62 {c |}{col 24}{res}{space 2} .5978106{col 36}{space 2}  .306988{col 47}{space 1}    1.95{col 56}{space 3}0.058{col 64}{space 4}-.0217162{col 77}{space 3} 1.217337
{txt}{space 13}_Iprov_64 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_65 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 17}_cons {c |}{col 24}{res}{space 2}-5.679102{col 36}{space 2} 2.779748{col 47}{space 1}   -2.04{col 56}{space 3}0.047{col 64}{space 4}-11.28886{col 77}{space 3}-.0693445
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. estimates store table2_2_2
{txt}
{com}. 
. xi:reg trustfamily CRdeath_pop_prefecture `minimum_controls' if local==1,cl(city_id)
{txt}i.prov{col 19}_Iprov_13-65{col 39}(naturally coded; _Iprov_13 omitted)

Linear regression                               Number of obs     = {res}     2,396
                                                {txt}{help j_robustsingular:F(21, 56) }        =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.0451
                                                {txt}Root MSE          =    {res} .35245

{txt}{ralign 88:(Std. Err. adjusted for {res:57} clusters in city_id)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}           trustfamily{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
CRdeath_pop_prefecture {c |}{col 24}{res}{space 2}  .043758{col 36}{space 2} .0328606{col 47}{space 1}    1.33{col 56}{space 3}0.188{col 64}{space 4}-.0220698{col 77}{space 3} .1095857
{txt}{space 5}log_accountlength {c |}{col 24}{res}{space 2}-.0547224{col 36}{space 2} .0376091{col 47}{space 1}   -1.46{col 56}{space 3}0.151{col 64}{space 4}-.1300624{col 77}{space 3} .0206176
{txt}{space 13}_Iprov_15 {c |}{col 24}{res}{space 2}-.0303426{col 36}{space 2} .1050009{col 47}{space 1}   -0.29{col 56}{space 3}0.774{col 64}{space 4}-.2406847{col 77}{space 3} .1799994
{txt}{space 13}_Iprov_21 {c |}{col 24}{res}{space 2} .1247581{col 36}{space 2} .0492208{col 47}{space 1}    2.53{col 56}{space 3}0.014{col 64}{space 4}  .026157{col 77}{space 3} .2233592
{txt}{space 13}_Iprov_22 {c |}{col 24}{res}{space 2}-.0152039{col 36}{space 2} .0504547{col 47}{space 1}   -0.30{col 56}{space 3}0.764{col 64}{space 4}-.1162767{col 77}{space 3}  .085869
{txt}{space 13}_Iprov_23 {c |}{col 24}{res}{space 2}-.0321026{col 36}{space 2} .0753555{col 47}{space 1}   -0.43{col 56}{space 3}0.672{col 64}{space 4}-.1830578{col 77}{space 3} .1188525
{txt}{space 13}_Iprov_31 {c |}{col 24}{res}{space 2} -.008093{col 36}{space 2} .0404296{col 47}{space 1}   -0.20{col 56}{space 3}0.842{col 64}{space 4}-.0890832{col 77}{space 3} .0728971
{txt}{space 13}_Iprov_32 {c |}{col 24}{res}{space 2} .0412836{col 36}{space 2} .0554485{col 47}{space 1}    0.74{col 56}{space 3}0.460{col 64}{space 4}-.0697931{col 77}{space 3} .1523604
{txt}{space 13}_Iprov_33 {c |}{col 24}{res}{space 2}-.0418716{col 36}{space 2} .0615002{col 47}{space 1}   -0.68{col 56}{space 3}0.499{col 64}{space 4}-.1650713{col 77}{space 3} .0813281
{txt}{space 13}_Iprov_34 {c |}{col 24}{res}{space 2} .0518861{col 36}{space 2} .0653926{col 47}{space 1}    0.79{col 56}{space 3}0.431{col 64}{space 4} -.079111{col 77}{space 3} .1828832
{txt}{space 13}_Iprov_35 {c |}{col 24}{res}{space 2} .0575955{col 36}{space 2} .0540625{col 47}{space 1}    1.07{col 56}{space 3}0.291{col 64}{space 4}-.0507048{col 77}{space 3} .1658958
{txt}{space 13}_Iprov_36 {c |}{col 24}{res}{space 2}-.2377046{col 36}{space 2} .1558421{col 47}{space 1}   -1.53{col 56}{space 3}0.133{col 64}{space 4}-.5498939{col 77}{space 3} .0744848
{txt}{space 13}_Iprov_37 {c |}{col 24}{res}{space 2} .0333263{col 36}{space 2}  .073525{col 47}{space 1}    0.45{col 56}{space 3}0.652{col 64}{space 4} -.113962{col 77}{space 3} .1806145
{txt}{space 13}_Iprov_41 {c |}{col 24}{res}{space 2} .0989652{col 36}{space 2} .0513969{col 47}{space 1}    1.93{col 56}{space 3}0.059{col 64}{space 4}-.0039952{col 77}{space 3} .2019256
{txt}{space 13}_Iprov_42 {c |}{col 24}{res}{space 2}-.0634614{col 36}{space 2} .0615018{col 47}{space 1}   -1.03{col 56}{space 3}0.307{col 64}{space 4}-.1866644{col 77}{space 3} .0597416
{txt}{space 13}_Iprov_43 {c |}{col 24}{res}{space 2} .0578959{col 36}{space 2} .0550858{col 47}{space 1}    1.05{col 56}{space 3}0.298{col 64}{space 4}-.0524542{col 77}{space 3} .1682461
{txt}{space 13}_Iprov_44 {c |}{col 24}{res}{space 2} .0092733{col 36}{space 2} .0519291{col 47}{space 1}    0.18{col 56}{space 3}0.859{col 64}{space 4}-.0947531{col 77}{space 3} .1132997
{txt}{space 13}_Iprov_45 {c |}{col 24}{res}{space 2}-.2947249{col 36}{space 2} .1283852{col 47}{space 1}   -2.30{col 56}{space 3}0.025{col 64}{space 4}-.5519113{col 77}{space 3}-.0375385
{txt}{space 13}_Iprov_50 {c |}{col 24}{res}{space 2}-.0628485{col 36}{space 2} .0497956{col 47}{space 1}   -1.26{col 56}{space 3}0.212{col 64}{space 4}-.1626012{col 77}{space 3} .0369041
{txt}{space 13}_Iprov_51 {c |}{col 24}{res}{space 2} .0537382{col 36}{space 2} .0600863{col 47}{space 1}    0.89{col 56}{space 3}0.375{col 64}{space 4}-.0666291{col 77}{space 3} .1741056
{txt}{space 13}_Iprov_52 {c |}{col 24}{res}{space 2}-.1702161{col 36}{space 2} .0466272{col 47}{space 1}   -3.65{col 56}{space 3}0.001{col 64}{space 4}-.2636216{col 77}{space 3}-.0768106
{txt}{space 13}_Iprov_53 {c |}{col 24}{res}{space 2} .0485811{col 36}{space 2} .0451123{col 47}{space 1}    1.08{col 56}{space 3}0.286{col 64}{space 4}-.0417897{col 77}{space 3} .1389519
{txt}{space 13}_Iprov_61 {c |}{col 24}{res}{space 2} .0102648{col 36}{space 2} .0501097{col 47}{space 1}    0.20{col 56}{space 3}0.838{col 64}{space 4}-.0901169{col 77}{space 3} .1106465
{txt}{space 13}_Iprov_62 {c |}{col 24}{res}{space 2} .0232041{col 36}{space 2} .0662167{col 47}{space 1}    0.35{col 56}{space 3}0.727{col 64}{space 4}-.1094438{col 77}{space 3}  .155852
{txt}{space 13}_Iprov_64 {c |}{col 24}{res}{space 2} .0778763{col 36}{space 2} .0544041{col 47}{space 1}    1.43{col 56}{space 3}0.158{col 64}{space 4}-.0311082{col 77}{space 3} .1868608
{txt}{space 13}_Iprov_65 {c |}{col 24}{res}{space 2} .0514398{col 36}{space 2} .0518306{col 47}{space 1}    0.99{col 56}{space 3}0.325{col 64}{space 4}-.0523895{col 77}{space 3}  .155269
{txt}{space 17}_cons {c |}{col 24}{res}{space 2} 4.309643{col 36}{space 2} .3348674{col 47}{space 1}   12.87{col 56}{space 3}0.000{col 64}{space 4} 3.638823{col 77}{space 3} 4.980463
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. estimates store table2_2_3
{txt}
{com}. 
. xi:reg trustfamily CRdeath_pop_prefecture `individual_controls' `prefectural_controls' `minimum_controls' if local==1,cl(city_id)
{txt}i.prov{col 19}_Iprov_13-65{col 39}(naturally coded; _Iprov_13 omitted)
note: _Iprov_22 omitted because of collinearity
note: _Iprov_23 omitted because of collinearity
note: _Iprov_31 omitted because of collinearity
note: _Iprov_32 omitted because of collinearity
note: _Iprov_37 omitted because of collinearity
note: _Iprov_41 omitted because of collinearity
note: _Iprov_45 omitted because of collinearity
note: _Iprov_50 omitted because of collinearity
note: _Iprov_52 omitted because of collinearity
note: _Iprov_64 omitted because of collinearity
note: _Iprov_65 omitted because of collinearity

Linear regression                               Number of obs     = {res}     1,656
                                                {txt}{help j_robustsingular:F(35, 42) }        =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.0823
                                                {txt}Root MSE          =    {res}  .3494

{txt}{ralign 88:(Std. Err. adjusted for {res:43} clusters in city_id)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}           trustfamily{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
CRdeath_pop_prefecture {c |}{col 24}{res}{space 2} .0625869{col 36}{space 2} .0102452{col 47}{space 1}    6.11{col 56}{space 3}0.000{col 64}{space 4} .0419112{col 77}{space 3} .0832626
{txt}{space 18}male {c |}{col 24}{res}{space 2} .0084127{col 36}{space 2}  .015415{col 47}{space 1}    0.55{col 56}{space 3}0.588{col 64}{space 4} -.022696{col 77}{space 3} .0395214
{txt}{space 19}age {c |}{col 24}{res}{space 2} .0023475{col 36}{space 2} .0026253{col 47}{space 1}    0.89{col 56}{space 3}0.376{col 64}{space 4}-.0029505{col 77}{space 3} .0076455
{txt}{space 13}agesquare {c |}{col 24}{res}{space 2} -.000022{col 36}{space 2} .0000261{col 47}{space 1}   -0.84{col 56}{space 3}0.403{col 64}{space 4}-.0000747{col 77}{space 3} .0000307
{txt}{space 19}han {c |}{col 24}{res}{space 2}-.0163606{col 36}{space 2} .0267125{col 47}{space 1}   -0.61{col 56}{space 3}0.544{col 64}{space 4}-.0702688{col 77}{space 3} .0375475
{txt}{space 13}goodclass {c |}{col 24}{res}{space 2} .0773125{col 36}{space 2} .0437696{col 47}{space 1}    1.77{col 56}{space 3}0.085{col 64}{space 4}-.0110183{col 77}{space 3} .1656432
{txt}{space 14}midclass {c |}{col 24}{res}{space 2} .0464611{col 36}{space 2} .0510144{col 47}{space 1}    0.91{col 56}{space 3}0.368{col 64}{space 4}-.0564901{col 77}{space 3} .1494122
{txt}{space 5}sexratio_1964_pre {c |}{col 24}{res}{space 2}-.2606436{col 36}{space 2} .1504063{col 47}{space 1}   -1.73{col 56}{space 3}0.090{col 64}{space 4}-.5641757{col 77}{space 3} .0428886
{txt}urbanpopratio_1964_pre {c |}{col 24}{res}{space 2} .0078625{col 36}{space 2} .0032768{col 47}{space 1}    2.40{col 56}{space 3}0.021{col 64}{space 4} .0012496{col 77}{space 3} .0144754
{txt}{space 4}qingrebellioncount {c |}{col 24}{res}{space 2} .0144632{col 36}{space 2} .0032833{col 47}{space 1}    4.41{col 56}{space 3}0.000{col 64}{space 4} .0078372{col 77}{space 3} .0210891
{txt}{space 8}popdensity1964 {c |}{col 24}{res}{space 2}-.0001758{col 36}{space 2} .0001421{col 47}{space 1}   -1.24{col 56}{space 3}0.223{col 64}{space 4}-.0004626{col 77}{space 3} .0001109
{txt}{space 14}lnpergdp {c |}{col 24}{res}{space 2}-.6438887{col 36}{space 2} .1168569{col 47}{space 1}   -5.51{col 56}{space 3}0.000{col 64}{space 4}-.8797154{col 77}{space 3} -.408062
{txt}{space 15}shouzai {c |}{col 24}{res}{space 2} .0350047{col 36}{space 2} .0129917{col 47}{space 1}    2.69{col 56}{space 3}0.010{col 64}{space 4} .0087865{col 77}{space 3}  .061223
{txt}{space 16}extrap {c |}{col 24}{res}{space 2}-.0451835{col 36}{space 2} .0067162{col 47}{space 1}   -6.73{col 56}{space 3}0.000{col 64}{space 4}-.0587372{col 77}{space 3}-.0316297
{txt}{space 19}pmd {c |}{col 24}{res}{space 2}-6.15e-06{col 36}{space 2}  .000878{col 47}{space 1}   -0.01{col 56}{space 3}0.994{col 64}{space 4}-.0017781{col 77}{space 3} .0017658
{txt}{space 13}longitude {c |}{col 24}{res}{space 2} .0034874{col 36}{space 2} .0065186{col 47}{space 1}    0.53{col 56}{space 3}0.595{col 64}{space 4}-.0096676{col 77}{space 3} .0166425
{txt}{space 14}latitude {c |}{col 24}{res}{space 2}   .09568{col 36}{space 2} .0095886{col 47}{space 1}    9.98{col 56}{space 3}0.000{col 64}{space 4} .0763294{col 77}{space 3} .1150306
{txt}{space 14}resource {c |}{col 24}{res}{space 2} -.059868{col 36}{space 2} .0219427{col 47}{space 1}   -2.73{col 56}{space 3}0.009{col 64}{space 4}-.1041502{col 77}{space 3}-.0155858
{txt}{space 16}colony {c |}{col 24}{res}{space 2}-.1566534{col 36}{space 2} .0621014{col 47}{space 1}   -2.52{col 56}{space 3}0.016{col 64}{space 4}-.2819792{col 77}{space 3}-.0313276
{txt}{space 16}suit_m {c |}{col 24}{res}{space 2} .2013493{col 36}{space 2} .0345464{col 47}{space 1}    5.83{col 56}{space 3}0.000{col 64}{space 4} .1316318{col 77}{space 3} .2710669
{txt}{space 5}distancetobeijing {c |}{col 24}{res}{space 2} .0002647{col 36}{space 2} .0000932{col 47}{space 1}    2.84{col 56}{space 3}0.007{col 64}{space 4} .0000766{col 77}{space 3} .0004528
{txt}{space 11}riverlength {c |}{col 24}{res}{space 2}-.0001675{col 36}{space 2} .0001787{col 47}{space 1}   -0.94{col 56}{space 3}0.354{col 64}{space 4}-.0005281{col 77}{space 3} .0001931
{txt}{space 5}log_accountlength {c |}{col 24}{res}{space 2}  .030863{col 36}{space 2}   .03727{col 47}{space 1}    0.83{col 56}{space 3}0.412{col 64}{space 4}-.0443508{col 77}{space 3} .1060769
{txt}{space 13}_Iprov_15 {c |}{col 24}{res}{space 2}-.2143121{col 36}{space 2} .0393743{col 47}{space 1}   -5.44{col 56}{space 3}0.000{col 64}{space 4}-.2937727{col 77}{space 3}-.1348515
{txt}{space 13}_Iprov_21 {c |}{col 24}{res}{space 2} .7927774{col 36}{space 2} .0679057{col 47}{space 1}   11.67{col 56}{space 3}0.000{col 64}{space 4} .6557382{col 77}{space 3} .9298167
{txt}{space 13}_Iprov_22 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_23 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_31 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_32 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_33 {c |}{col 24}{res}{space 2} .5657219{col 36}{space 2} .1129634{col 47}{space 1}    5.01{col 56}{space 3}0.000{col 64}{space 4} .3377526{col 77}{space 3} .7936912
{txt}{space 13}_Iprov_34 {c |}{col 24}{res}{space 2} .3058059{col 36}{space 2} .0552219{col 47}{space 1}    5.54{col 56}{space 3}0.000{col 64}{space 4} .1943637{col 77}{space 3} .4172481
{txt}{space 13}_Iprov_35 {c |}{col 24}{res}{space 2} 1.130706{col 36}{space 2} .0938333{col 47}{space 1}   12.05{col 56}{space 3}0.000{col 64}{space 4} .9413426{col 77}{space 3} 1.320069
{txt}{space 13}_Iprov_36 {c |}{col 24}{res}{space 2} .5433201{col 36}{space 2} .0864036{col 47}{space 1}    6.29{col 56}{space 3}0.000{col 64}{space 4} .3689505{col 77}{space 3} .7176896
{txt}{space 13}_Iprov_37 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_41 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_42 {c |}{col 24}{res}{space 2}  .419534{col 36}{space 2} .0489587{col 47}{space 1}    8.57{col 56}{space 3}0.000{col 64}{space 4} .3207314{col 77}{space 3} .5183367
{txt}{space 13}_Iprov_43 {c |}{col 24}{res}{space 2} .5432888{col 36}{space 2} .0512925{col 47}{space 1}   10.59{col 56}{space 3}0.000{col 64}{space 4} .4397763{col 77}{space 3} .6468013
{txt}{space 13}_Iprov_44 {c |}{col 24}{res}{space 2} 1.192431{col 36}{space 2}  .136293{col 47}{space 1}    8.75{col 56}{space 3}0.000{col 64}{space 4} .9173809{col 77}{space 3} 1.467482
{txt}{space 13}_Iprov_45 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_50 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_51 {c |}{col 24}{res}{space 2} .5429384{col 36}{space 2} .1220734{col 47}{space 1}    4.45{col 56}{space 3}0.000{col 64}{space 4} .2965843{col 77}{space 3} .7892924
{txt}{space 13}_Iprov_52 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_53 {c |}{col 24}{res}{space 2} 1.170185{col 36}{space 2} .0933402{col 47}{space 1}   12.54{col 56}{space 3}0.000{col 64}{space 4}  .981817{col 77}{space 3} 1.358553
{txt}{space 13}_Iprov_61 {c |}{col 24}{res}{space 2} .3527843{col 36}{space 2} .0870171{col 47}{space 1}    4.05{col 56}{space 3}0.000{col 64}{space 4} .1771767{col 77}{space 3}  .528392
{txt}{space 13}_Iprov_62 {c |}{col 24}{res}{space 2} .5711097{col 36}{space 2}   .13084{col 47}{space 1}    4.36{col 56}{space 3}0.000{col 64}{space 4}  .307064{col 77}{space 3} .8351555
{txt}{space 13}_Iprov_64 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_65 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 17}_cons {c |}{col 24}{res}{space 2} 2.348294{col 36}{space 2} 1.287289{col 47}{space 1}    1.82{col 56}{space 3}0.075{col 64}{space 4}-.2495603{col 77}{space 3} 4.946148
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. estimates store table2_2_4
{txt}
{com}. 
. xi:reg trustrelative CRdeath_pop_prefecture `minimum_controls' if local==1,cl(city_id)
{txt}i.prov{col 19}_Iprov_13-65{col 39}(naturally coded; _Iprov_13 omitted)

Linear regression                               Number of obs     = {res}     2,379
                                                {txt}{help j_robustsingular:F(21, 56) }        =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.0329
                                                {txt}Root MSE          =    {res} .56651

{txt}{ralign 88:(Std. Err. adjusted for {res:57} clusters in city_id)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}         trustrelative{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
CRdeath_pop_prefecture {c |}{col 24}{res}{space 2} .0453577{col 36}{space 2} .0264089{col 47}{space 1}    1.72{col 56}{space 3}0.091{col 64}{space 4}-.0075458{col 77}{space 3} .0982611
{txt}{space 5}log_accountlength {c |}{col 24}{res}{space 2}-.0272797{col 36}{space 2}   .06809{col 47}{space 1}   -0.40{col 56}{space 3}0.690{col 64}{space 4}-.1636803{col 77}{space 3}  .109121
{txt}{space 13}_Iprov_15 {c |}{col 24}{res}{space 2}-.0627195{col 36}{space 2} .0838247{col 47}{space 1}   -0.75{col 56}{space 3}0.457{col 64}{space 4}-.2306405{col 77}{space 3} .1052014
{txt}{space 13}_Iprov_21 {c |}{col 24}{res}{space 2} .0842862{col 36}{space 2} .0758973{col 47}{space 1}    1.11{col 56}{space 3}0.272{col 64}{space 4}-.0677545{col 77}{space 3} .2363268
{txt}{space 13}_Iprov_22 {c |}{col 24}{res}{space 2}-.2764454{col 36}{space 2} .0603346{col 47}{space 1}   -4.58{col 56}{space 3}0.000{col 64}{space 4}-.3973102{col 77}{space 3}-.1555806
{txt}{space 13}_Iprov_23 {c |}{col 24}{res}{space 2}-.1423921{col 36}{space 2} .0839058{col 47}{space 1}   -1.70{col 56}{space 3}0.095{col 64}{space 4}-.3104757{col 77}{space 3} .0256915
{txt}{space 13}_Iprov_31 {c |}{col 24}{res}{space 2}-.3039109{col 36}{space 2} .0534245{col 47}{space 1}   -5.69{col 56}{space 3}0.000{col 64}{space 4} -.410933{col 77}{space 3}-.1968889
{txt}{space 13}_Iprov_32 {c |}{col 24}{res}{space 2}-.1502359{col 36}{space 2} .1431974{col 47}{space 1}   -1.05{col 56}{space 3}0.299{col 64}{space 4}-.4370948{col 77}{space 3}  .136623
{txt}{space 13}_Iprov_33 {c |}{col 24}{res}{space 2}-.2402831{col 36}{space 2} .0876577{col 47}{space 1}   -2.74{col 56}{space 3}0.008{col 64}{space 4}-.4158826{col 77}{space 3}-.0646836
{txt}{space 13}_Iprov_34 {c |}{col 24}{res}{space 2}-.0353123{col 36}{space 2} .1495798{col 47}{space 1}   -0.24{col 56}{space 3}0.814{col 64}{space 4}-.3349566{col 77}{space 3}  .264332
{txt}{space 13}_Iprov_35 {c |}{col 24}{res}{space 2}-.2748004{col 36}{space 2} .0681253{col 47}{space 1}   -4.03{col 56}{space 3}0.000{col 64}{space 4}-.4112718{col 77}{space 3}-.1383289
{txt}{space 13}_Iprov_36 {c |}{col 24}{res}{space 2}-.2989145{col 36}{space 2} .1530153{col 47}{space 1}   -1.95{col 56}{space 3}0.056{col 64}{space 4}-.6054409{col 77}{space 3} .0076118
{txt}{space 13}_Iprov_37 {c |}{col 24}{res}{space 2} .0673605{col 36}{space 2} .0833488{col 47}{space 1}    0.81{col 56}{space 3}0.422{col 64}{space 4}-.0996073{col 77}{space 3} .2343283
{txt}{space 13}_Iprov_41 {c |}{col 24}{res}{space 2}-.0968086{col 36}{space 2} .0732633{col 47}{space 1}   -1.32{col 56}{space 3}0.192{col 64}{space 4}-.2435727{col 77}{space 3} .0499554
{txt}{space 13}_Iprov_42 {c |}{col 24}{res}{space 2}-.0910582{col 36}{space 2} .0981633{col 47}{space 1}   -0.93{col 56}{space 3}0.358{col 64}{space 4}-.2877029{col 77}{space 3} .1055864
{txt}{space 13}_Iprov_43 {c |}{col 24}{res}{space 2}-.0673719{col 36}{space 2} .0605207{col 47}{space 1}   -1.11{col 56}{space 3}0.270{col 64}{space 4}-.1886094{col 77}{space 3} .0538656
{txt}{space 13}_Iprov_44 {c |}{col 24}{res}{space 2}-.0989911{col 36}{space 2} .1049149{col 47}{space 1}   -0.94{col 56}{space 3}0.349{col 64}{space 4}-.3091609{col 77}{space 3} .1111788
{txt}{space 13}_Iprov_45 {c |}{col 24}{res}{space 2}-.2634097{col 36}{space 2}  .090987{col 47}{space 1}   -2.90{col 56}{space 3}0.005{col 64}{space 4}-.4456785{col 77}{space 3}-.0811409
{txt}{space 13}_Iprov_50 {c |}{col 24}{res}{space 2} -.221602{col 36}{space 2} .0595511{col 47}{space 1}   -3.72{col 56}{space 3}0.000{col 64}{space 4}-.3408972{col 77}{space 3}-.1023067
{txt}{space 13}_Iprov_51 {c |}{col 24}{res}{space 2} .0438184{col 36}{space 2} .0828254{col 47}{space 1}    0.53{col 56}{space 3}0.599{col 64}{space 4}-.1221009{col 77}{space 3} .2097377
{txt}{space 13}_Iprov_52 {c |}{col 24}{res}{space 2}-.1385714{col 36}{space 2} .0580647{col 47}{space 1}   -2.39{col 56}{space 3}0.020{col 64}{space 4} -.254889{col 77}{space 3}-.0222539
{txt}{space 13}_Iprov_53 {c |}{col 24}{res}{space 2} -.000816{col 36}{space 2} .0722406{col 47}{space 1}   -0.01{col 56}{space 3}0.991{col 64}{space 4}-.1455314{col 77}{space 3} .1438993
{txt}{space 13}_Iprov_61 {c |}{col 24}{res}{space 2}-.0805942{col 36}{space 2} .0849949{col 47}{space 1}   -0.95{col 56}{space 3}0.347{col 64}{space 4}-.2508594{col 77}{space 3}  .089671
{txt}{space 13}_Iprov_62 {c |}{col 24}{res}{space 2}-.0415148{col 36}{space 2}  .065923{col 47}{space 1}   -0.63{col 56}{space 3}0.531{col 64}{space 4}-.1735744{col 77}{space 3} .0905447
{txt}{space 13}_Iprov_64 {c |}{col 24}{res}{space 2}-.0245421{col 36}{space 2} .0646628{col 47}{space 1}   -0.38{col 56}{space 3}0.706{col 64}{space 4}-.1540773{col 77}{space 3}  .104993
{txt}{space 13}_Iprov_65 {c |}{col 24}{res}{space 2}-.0151606{col 36}{space 2} .0742952{col 47}{space 1}   -0.20{col 56}{space 3}0.839{col 64}{space 4}-.1639918{col 77}{space 3} .1336706
{txt}{space 17}_cons {c |}{col 24}{res}{space 2} 3.810439{col 36}{space 2} .5848739{col 47}{space 1}    6.51{col 56}{space 3}0.000{col 64}{space 4} 2.638796{col 77}{space 3} 4.982082
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. estimates store table2_2_5
{txt}
{com}. 
. xi:reg trustrelative CRdeath_pop_prefecture `individual_controls' `prefectural_controls' `minimum_controls' if local==1,cl(city_id)
{txt}i.prov{col 19}_Iprov_13-65{col 39}(naturally coded; _Iprov_13 omitted)
note: _Iprov_22 omitted because of collinearity
note: _Iprov_23 omitted because of collinearity
note: _Iprov_31 omitted because of collinearity
note: _Iprov_32 omitted because of collinearity
note: _Iprov_37 omitted because of collinearity
note: _Iprov_41 omitted because of collinearity
note: _Iprov_45 omitted because of collinearity
note: _Iprov_50 omitted because of collinearity
note: _Iprov_52 omitted because of collinearity
note: _Iprov_64 omitted because of collinearity
note: _Iprov_65 omitted because of collinearity

Linear regression                               Number of obs     = {res}     1,645
                                                {txt}F(36, 42)         =  {res}  2185.27
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0639
                                                {txt}Root MSE          =    {res} .55321

{txt}{ralign 88:(Std. Err. adjusted for {res:43} clusters in city_id)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}         trustrelative{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
CRdeath_pop_prefecture {c |}{col 24}{res}{space 2} .0781541{col 36}{space 2}  .032798{col 47}{space 1}    2.38{col 56}{space 3}0.022{col 64}{space 4}  .011965{col 77}{space 3} .1443431
{txt}{space 18}male {c |}{col 24}{res}{space 2}-.0314086{col 36}{space 2} .0331094{col 47}{space 1}   -0.95{col 56}{space 3}0.348{col 64}{space 4}-.0982261{col 77}{space 3} .0354088
{txt}{space 19}age {c |}{col 24}{res}{space 2} .0052938{col 36}{space 2} .0060194{col 47}{space 1}    0.88{col 56}{space 3}0.384{col 64}{space 4}-.0068539{col 77}{space 3} .0174414
{txt}{space 13}agesquare {c |}{col 24}{res}{space 2}-.0000285{col 36}{space 2} .0000592{col 47}{space 1}   -0.48{col 56}{space 3}0.632{col 64}{space 4}-.0001481{col 77}{space 3}  .000091
{txt}{space 19}han {c |}{col 24}{res}{space 2}-.0017831{col 36}{space 2} .0682674{col 47}{space 1}   -0.03{col 56}{space 3}0.979{col 64}{space 4}-.1395522{col 77}{space 3} .1359861
{txt}{space 13}goodclass {c |}{col 24}{res}{space 2} .0657972{col 36}{space 2} .0819903{col 47}{space 1}    0.80{col 56}{space 3}0.427{col 64}{space 4}-.0996659{col 77}{space 3} .2312603
{txt}{space 14}midclass {c |}{col 24}{res}{space 2} .0596337{col 36}{space 2} .0981855{col 47}{space 1}    0.61{col 56}{space 3}0.547{col 64}{space 4}-.1385126{col 77}{space 3}   .25778
{txt}{space 5}sexratio_1964_pre {c |}{col 24}{res}{space 2} .4935848{col 36}{space 2} .5476629{col 47}{space 1}    0.90{col 56}{space 3}0.373{col 64}{space 4}-.6116436{col 77}{space 3} 1.598813
{txt}urbanpopratio_1964_pre {c |}{col 24}{res}{space 2} .0200879{col 36}{space 2}  .009793{col 47}{space 1}    2.05{col 56}{space 3}0.047{col 64}{space 4} .0003247{col 77}{space 3}  .039851
{txt}{space 4}qingrebellioncount {c |}{col 24}{res}{space 2} .0061935{col 36}{space 2} .0113315{col 47}{space 1}    0.55{col 56}{space 3}0.588{col 64}{space 4}-.0166744{col 77}{space 3} .0290613
{txt}{space 8}popdensity1964 {c |}{col 24}{res}{space 2}  .000137{col 36}{space 2} .0004585{col 47}{space 1}    0.30{col 56}{space 3}0.767{col 64}{space 4}-.0007883{col 77}{space 3} .0010623
{txt}{space 14}lnpergdp {c |}{col 24}{res}{space 2}-1.007313{col 36}{space 2} .3469744{col 47}{space 1}   -2.90{col 56}{space 3}0.006{col 64}{space 4}-1.707536{col 77}{space 3}-.3070902
{txt}{space 15}shouzai {c |}{col 24}{res}{space 2} .0183946{col 36}{space 2} .0406345{col 47}{space 1}    0.45{col 56}{space 3}0.653{col 64}{space 4}-.0636091{col 77}{space 3} .1003983
{txt}{space 16}extrap {c |}{col 24}{res}{space 2}-.0899085{col 36}{space 2} .0169645{col 47}{space 1}   -5.30{col 56}{space 3}0.000{col 64}{space 4}-.1241444{col 77}{space 3}-.0556727
{txt}{space 19}pmd {c |}{col 24}{res}{space 2}-.0051002{col 36}{space 2} .0031783{col 47}{space 1}   -1.60{col 56}{space 3}0.116{col 64}{space 4}-.0115142{col 77}{space 3} .0013138
{txt}{space 13}longitude {c |}{col 24}{res}{space 2} .0065814{col 36}{space 2}  .026211{col 47}{space 1}    0.25{col 56}{space 3}0.803{col 64}{space 4}-.0463146{col 77}{space 3} .0594773
{txt}{space 14}latitude {c |}{col 24}{res}{space 2} .0824383{col 36}{space 2} .0383983{col 47}{space 1}    2.15{col 56}{space 3}0.038{col 64}{space 4} .0049473{col 77}{space 3} .1599292
{txt}{space 14}resource {c |}{col 24}{res}{space 2}-.1472396{col 36}{space 2}  .053513{col 47}{space 1}   -2.75{col 56}{space 3}0.009{col 64}{space 4}-.2552332{col 77}{space 3}-.0392459
{txt}{space 16}colony {c |}{col 24}{res}{space 2}-.1554188{col 36}{space 2} .1921653{col 47}{space 1}   -0.81{col 56}{space 3}0.423{col 64}{space 4} -.543224{col 77}{space 3} .2323864
{txt}{space 16}suit_m {c |}{col 24}{res}{space 2} .2776928{col 36}{space 2} .1055781{col 47}{space 1}    2.63{col 56}{space 3}0.012{col 64}{space 4} .0646276{col 77}{space 3} .4907581
{txt}{space 5}distancetobeijing {c |}{col 24}{res}{space 2}-.0000148{col 36}{space 2} .0003497{col 47}{space 1}   -0.04{col 56}{space 3}0.967{col 64}{space 4}-.0007205{col 77}{space 3}  .000691
{txt}{space 11}riverlength {c |}{col 24}{res}{space 2} .0013512{col 36}{space 2} .0006122{col 47}{space 1}    2.21{col 56}{space 3}0.033{col 64}{space 4} .0001157{col 77}{space 3} .0025866
{txt}{space 5}log_accountlength {c |}{col 24}{res}{space 2}  .107337{col 36}{space 2} .1134895{col 47}{space 1}    0.95{col 56}{space 3}0.350{col 64}{space 4}-.1216941{col 77}{space 3} .3363682
{txt}{space 13}_Iprov_15 {c |}{col 24}{res}{space 2}-.0646166{col 36}{space 2} .1308766{col 47}{space 1}   -0.49{col 56}{space 3}0.624{col 64}{space 4}-.3287362{col 77}{space 3} .1995031
{txt}{space 13}_Iprov_21 {c |}{col 24}{res}{space 2}  1.25762{col 36}{space 2} .2345619{col 47}{space 1}    5.36{col 56}{space 3}0.000{col 64}{space 4} .7842548{col 77}{space 3} 1.730985
{txt}{space 13}_Iprov_22 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_23 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_31 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_32 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_33 {c |}{col 24}{res}{space 2} .4814455{col 36}{space 2} .3762603{col 47}{space 1}    1.28{col 56}{space 3}0.208{col 64}{space 4}-.2778786{col 77}{space 3}  1.24077
{txt}{space 13}_Iprov_34 {c |}{col 24}{res}{space 2} .1391336{col 36}{space 2} .1973485{col 47}{space 1}    0.71{col 56}{space 3}0.485{col 64}{space 4}-.2591318{col 77}{space 3} .5373991
{txt}{space 13}_Iprov_35 {c |}{col 24}{res}{space 2} .8603191{col 36}{space 2} .3515313{col 47}{space 1}    2.45{col 56}{space 3}0.019{col 64}{space 4} .1509004{col 77}{space 3} 1.569738
{txt}{space 13}_Iprov_36 {c |}{col 24}{res}{space 2} .6686307{col 36}{space 2} .2903266{col 47}{space 1}    2.30{col 56}{space 3}0.026{col 64}{space 4} .0827278{col 77}{space 3} 1.254534
{txt}{space 13}_Iprov_37 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_41 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_42 {c |}{col 24}{res}{space 2} .5410127{col 36}{space 2} .1358297{col 47}{space 1}    3.98{col 56}{space 3}0.000{col 64}{space 4} .2668974{col 77}{space 3} .8151281
{txt}{space 13}_Iprov_43 {c |}{col 24}{res}{space 2} .4422368{col 36}{space 2}  .161642{col 47}{space 1}    2.74{col 56}{space 3}0.009{col 64}{space 4} .1160301{col 77}{space 3} .7684436
{txt}{space 13}_Iprov_44 {c |}{col 24}{res}{space 2} 1.393843{col 36}{space 2} .4257187{col 47}{space 1}    3.27{col 56}{space 3}0.002{col 64}{space 4} .5347083{col 77}{space 3} 2.252979
{txt}{space 13}_Iprov_45 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_50 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_51 {c |}{col 24}{res}{space 2} .5367602{col 36}{space 2} .3898407{col 47}{space 1}    1.38{col 56}{space 3}0.176{col 64}{space 4}-.2499701{col 77}{space 3}  1.32349
{txt}{space 13}_Iprov_52 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_53 {c |}{col 24}{res}{space 2} 1.462457{col 36}{space 2} .2781575{col 47}{space 1}    5.26{col 56}{space 3}0.000{col 64}{space 4} .9011125{col 77}{space 3} 2.023802
{txt}{space 13}_Iprov_61 {c |}{col 24}{res}{space 2} .3090986{col 36}{space 2} .2100743{col 47}{space 1}    1.47{col 56}{space 3}0.149{col 64}{space 4}-.1148485{col 77}{space 3} .7330458
{txt}{space 13}_Iprov_62 {c |}{col 24}{res}{space 2} .7928192{col 36}{space 2} .4144962{col 47}{space 1}    1.91{col 56}{space 3}0.063{col 64}{space 4}-.0436679{col 77}{space 3} 1.629306
{txt}{space 13}_Iprov_64 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_65 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 17}_cons {c |}{col 24}{res}{space 2} 3.062744{col 36}{space 2} 4.644459{col 47}{space 1}    0.66{col 56}{space 3}0.513{col 64}{space 4}-6.310154{col 77}{space 3} 12.43564
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. estimates store table2_2_6
{txt}
{com}. 
. esttab table2_2_1 table2_2_2 table2_2_3 table2_2_4 table2_2_5 table2_2_6 using table2_2.csv, ///
> collabels(none)  cells(b(star fmt(3)) se(par)) staraux star(* 0.10 ** 0.05 *** 0.01)  replace ///
> stats(N r2, fmt(0 3)  labels(`"N"' `"R2"')) drop(_Iprov*) title(Table 2.2: OLS Estimates of the Effects of Cultural Revolution Violence on Interpersonal Trust) 
{res}{txt}(note: file table2_2.csv not found)
(output written to {browse  `"table2_2.csv"'})

{com}. 
. clear
{txt}
{com}. 
{txt}end of do-file

{com}. do "/var/folders/h7/yy_9_pys1zvgh1bl431b90_m0000gn/T//SD21778.000000"
{txt}
{com}. 
. **************************
. *Table 2.3*
. **************************
. 
. use "prefectualdata.dta",clear
{txt}
{com}. 
. local controls "sexratio_1964_pre urbanpopratio_1964_pre qingrebellion popdensity1964 lnpergdp shouzai extrap pmd longitude latitude resource colony suit_m distancetobeijing riverlength log_accountlength"
{txt}
{com}. local province_fe "i.pro_n"
{txt}
{com}. 
. preserve
{txt}
{com}. 
. center CRdeath_pop_prefecture `controls', inplace standardize
{txt}(modified variables: CRdeath_pop_prefecture sexratio_1964_pre urbanpopratio_1964_pre qingrebellion popdensity1964 lnpergdp shouzai extrap pmd longitude latitude resource colony suit_m distancetobeijing riverlength log_accountlength)

{com}. 
. xi: reg CRdeath_pop_prefecture `controls' `province_fe',cl(city_id)
{txt}i.pro_n{col 19}_Ipro_n_1-31{col 39}(naturally coded; _Ipro_n_1 omitted)
note: _Ipro_n_2 omitted because of collinearity
note: _Ipro_n_3 omitted because of collinearity
note: _Ipro_n_4 omitted because of collinearity
note: _Ipro_n_6 omitted because of collinearity
note: _Ipro_n_9 omitted because of collinearity
note: _Ipro_n_10 omitted because of collinearity
note: _Ipro_n_15 omitted because of collinearity
note: _Ipro_n_16 omitted because of collinearity
note: _Ipro_n_21 omitted because of collinearity
note: _Ipro_n_24 omitted because of collinearity
note: _Ipro_n_26 omitted because of collinearity
note: _Ipro_n_29 omitted because of collinearity
note: _Ipro_n_30 omitted because of collinearity
note: _Ipro_n_31 omitted because of collinearity

Linear regression                               Number of obs     = {res}       224
                                                {txt}{help j_robustsingular:F(30, 223) }       =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.4544
                                                {txt}Root MSE          =    {res}  .8772

{txt}{ralign 88:(Std. Err. adjusted for {res:224} clusters in city_id)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}CRdeath_pop_prefecture{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}sexratio_1964_pre {c |}{col 24}{res}{space 2} .1592418{col 36}{space 2} .1311181{col 47}{space 1}    1.21{col 56}{space 3}0.226{col 64}{space 4}-.0991472{col 77}{space 3} .4176308
{txt}urbanpopratio_1964_pre {c |}{col 24}{res}{space 2}-.1278226{col 36}{space 2} .0879713{col 47}{space 1}   -1.45{col 56}{space 3}0.148{col 64}{space 4} -.301184{col 77}{space 3} .0455388
{txt}{space 9}qingrebellion {c |}{col 24}{res}{space 2}-.0507017{col 36}{space 2} .0439574{col 47}{space 1}   -1.15{col 56}{space 3}0.250{col 64}{space 4}-.1373268{col 77}{space 3} .0359235
{txt}{space 8}popdensity1964 {c |}{col 24}{res}{space 2}-.0616234{col 36}{space 2} .0529875{col 47}{space 1}   -1.16{col 56}{space 3}0.246{col 64}{space 4}-.1660437{col 77}{space 3} .0427969
{txt}{space 14}lnpergdp {c |}{col 24}{res}{space 2} .3020543{col 36}{space 2} .2279815{col 47}{space 1}    1.32{col 56}{space 3}0.187{col 64}{space 4}-.1472195{col 77}{space 3} .7513282
{txt}{space 15}shouzai {c |}{col 24}{res}{space 2} .3390446{col 36}{space 2} .2863952{col 47}{space 1}    1.18{col 56}{space 3}0.238{col 64}{space 4}-.2253426{col 77}{space 3} .9034319
{txt}{space 16}extrap {c |}{col 24}{res}{space 2} .1257971{col 36}{space 2} .1212179{col 47}{space 1}    1.04{col 56}{space 3}0.300{col 64}{space 4}-.1130822{col 77}{space 3} .3646763
{txt}{space 19}pmd {c |}{col 24}{res}{space 2}-.0146742{col 36}{space 2}  .066683{col 47}{space 1}   -0.22{col 56}{space 3}0.826{col 64}{space 4}-.1460836{col 77}{space 3} .1167352
{txt}{space 13}longitude {c |}{col 24}{res}{space 2}-.0011118{col 36}{space 2} .1569847{col 47}{space 1}   -0.01{col 56}{space 3}0.994{col 64}{space 4}-.3104751{col 77}{space 3} .3082515
{txt}{space 14}latitude {c |}{col 24}{res}{space 2}-.1505078{col 36}{space 2} .2416834{col 47}{space 1}   -0.62{col 56}{space 3}0.534{col 64}{space 4}-.6267833{col 77}{space 3} .3257677
{txt}{space 14}resource {c |}{col 24}{res}{space 2}-.0813982{col 36}{space 2} .0935726{col 47}{space 1}   -0.87{col 56}{space 3}0.385{col 64}{space 4}-.2657979{col 77}{space 3} .1030015
{txt}{space 16}colony {c |}{col 24}{res}{space 2} .0113664{col 36}{space 2} .0266896{col 47}{space 1}    0.43{col 56}{space 3}0.671{col 64}{space 4}-.0412298{col 77}{space 3} .0639626
{txt}{space 16}suit_m {c |}{col 24}{res}{space 2}-.0309561{col 36}{space 2} .0744263{col 47}{space 1}   -0.42{col 56}{space 3}0.678{col 64}{space 4} -.177625{col 77}{space 3} .1157128
{txt}{space 5}distancetobeijing {c |}{col 24}{res}{space 2} .3692182{col 36}{space 2} .3336636{col 47}{space 1}    1.11{col 56}{space 3}0.270{col 64}{space 4} -.288319{col 77}{space 3} 1.026755
{txt}{space 11}riverlength {c |}{col 24}{res}{space 2}-.0080253{col 36}{space 2} .0521598{col 47}{space 1}   -0.15{col 56}{space 3}0.878{col 64}{space 4}-.1108144{col 77}{space 3} .0947638
{txt}{space 5}log_accountlength {c |}{col 24}{res}{space 2} .1320231{col 36}{space 2} .0859503{col 47}{space 1}    1.54{col 56}{space 3}0.126{col 64}{space 4}-.0373556{col 77}{space 3} .3014019
{txt}{space 13}_Ipro_n_2 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Ipro_n_3 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Ipro_n_4 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Ipro_n_5 {c |}{col 24}{res}{space 2} .7887866{col 36}{space 2} .4158187{col 47}{space 1}    1.90{col 56}{space 3}0.059{col 64}{space 4}-.0306502{col 77}{space 3} 1.608223
{txt}{space 13}_Ipro_n_6 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Ipro_n_7 {c |}{col 24}{res}{space 2} .0005556{col 36}{space 2}  .194865{col 47}{space 1}    0.00{col 56}{space 3}0.998{col 64}{space 4}-.3834568{col 77}{space 3}  .384568
{txt}{space 13}_Ipro_n_8 {c |}{col 24}{res}{space 2}-.1283835{col 36}{space 2} .4896859{col 47}{space 1}   -0.26{col 56}{space 3}0.793{col 64}{space 4}-1.093387{col 77}{space 3} .8366205
{txt}{space 13}_Ipro_n_9 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 12}_Ipro_n_10 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 12}_Ipro_n_11 {c |}{col 24}{res}{space 2}-.3707306{col 36}{space 2} .6156918{col 47}{space 1}   -0.60{col 56}{space 3}0.548{col 64}{space 4}-1.584049{col 77}{space 3} .8425879
{txt}{space 12}_Ipro_n_12 {c |}{col 24}{res}{space 2}-.0883825{col 36}{space 2}  .296724{col 47}{space 1}   -0.30{col 56}{space 3}0.766{col 64}{space 4}-.6731242{col 77}{space 3} .4963593
{txt}{space 12}_Ipro_n_13 {c |}{col 24}{res}{space 2}-.1861514{col 36}{space 2}  .424016{col 47}{space 1}   -0.44{col 56}{space 3}0.661{col 64}{space 4}-1.021742{col 77}{space 3} .6494396
{txt}{space 12}_Ipro_n_14 {c |}{col 24}{res}{space 2}-.0885308{col 36}{space 2} .2663494{col 47}{space 1}   -0.33{col 56}{space 3}0.740{col 64}{space 4}-.6134146{col 77}{space 3}  .436353
{txt}{space 12}_Ipro_n_15 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 12}_Ipro_n_16 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 12}_Ipro_n_17 {c |}{col 24}{res}{space 2}-.1962438{col 36}{space 2} .2739203{col 47}{space 1}   -0.72{col 56}{space 3}0.474{col 64}{space 4}-.7360473{col 77}{space 3} .3435598
{txt}{space 12}_Ipro_n_18 {c |}{col 24}{res}{space 2}-.0776914{col 36}{space 2} .2900959{col 47}{space 1}   -0.27{col 56}{space 3}0.789{col 64}{space 4}-.6493714{col 77}{space 3} .4939886
{txt}{space 12}_Ipro_n_19 {c |}{col 24}{res}{space 2}   -.7445{col 36}{space 2} 1.047984{col 47}{space 1}   -0.71{col 56}{space 3}0.478{col 64}{space 4} -2.80972{col 77}{space 3}  1.32072
{txt}{space 12}_Ipro_n_20 {c |}{col 24}{res}{space 2}  2.75405{col 36}{space 2} .6641457{col 47}{space 1}    4.15{col 56}{space 3}0.000{col 64}{space 4} 1.445246{col 77}{space 3} 4.062855
{txt}{space 12}_Ipro_n_21 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 12}_Ipro_n_23 {c |}{col 24}{res}{space 2} .2836315{col 36}{space 2} .2023833{col 47}{space 1}    1.40{col 56}{space 3}0.162{col 64}{space 4} -.115197{col 77}{space 3}   .68246
{txt}{space 12}_Ipro_n_24 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 12}_Ipro_n_25 {c |}{col 24}{res}{space 2}-.1043617{col 36}{space 2} .4422601{col 47}{space 1}   -0.24{col 56}{space 3}0.814{col 64}{space 4}-.9759056{col 77}{space 3} .7671822
{txt}{space 12}_Ipro_n_26 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 12}_Ipro_n_27 {c |}{col 24}{res}{space 2} .0328363{col 36}{space 2} .1795984{col 47}{space 1}    0.18{col 56}{space 3}0.855{col 64}{space 4}-.3210908{col 77}{space 3} .3867635
{txt}{space 12}_Ipro_n_28 {c |}{col 24}{res}{space 2} .2305815{col 36}{space 2} .2840638{col 47}{space 1}    0.81{col 56}{space 3}0.418{col 64}{space 4}-.3292114{col 77}{space 3} .7903743
{txt}{space 12}_Ipro_n_29 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 12}_Ipro_n_30 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 12}_Ipro_n_31 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 17}_cons {c |}{col 24}{res}{space 2}-.0910517{col 36}{space 2} .1817894{col 47}{space 1}   -0.50{col 56}{space 3}0.617{col 64}{space 4}-.4492966{col 77}{space 3} .2671933
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. estimates store table2_3
{txt}
{com}. 
. esttab table2_3 using table2_3.csv, ///
> collabels(none)  cells(b(star fmt(3)) se(par)) staraux star(* 0.10 ** 0.05 *** 0.01)  replace ///
> stats(N r2, fmt(0 3)  labels(`"N"' `"R2"')) drop(_Ipro_n_*) title(Table 2.3: Determinants of Cultural Revolution Violence Across Chinese Prefectures) 
{res}{txt}(note: file table2_3.csv not found)
(output written to {browse  `"table2_3.csv"'})

{com}. 
. restore
{txt}
{com}. 
. clear
{txt}
{com}. 
{txt}end of do-file

{com}. do "/var/folders/h7/yy_9_pys1zvgh1bl431b90_m0000gn/T//SD21778.000000"
{txt}
{com}. 
. **************************
. *Table 3.1*
. **************************
. 
. use "chinasurvey.dta",clear
{txt}
{com}. 
. local individual_controls "male age agesquare han goodclass midclass"
{txt}
{com}. local prefectural_controls "sexratio_1964_pre urbanpopratio_1964_pre qingrebellion popdensity1964 lnpergdp shouzai extrap pmd longitude latitude resource colony suit_m distancetobeijing riverlength"
{txt}
{com}. local minimum_controls "log_accountlength i.prov"
{txt}
{com}. 
. xi:reg trustcentralhead CRdeath_pop_prefecture `minimum_controls' if local==1,cl(city_id)
{txt}i.prov{col 19}_Iprov_13-65{col 39}(naturally coded; _Iprov_13 omitted)

Linear regression                               Number of obs     = {res}     1,895
                                                {txt}{help j_robustsingular:F(21, 56) }        =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.0879
                                                {txt}Root MSE          =    {res} .75535

{txt}{ralign 88:(Std. Err. adjusted for {res:57} clusters in city_id)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}      trustcentralhead{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
CRdeath_pop_prefecture {c |}{col 24}{res}{space 2}-.0925112{col 36}{space 2} .0326291{col 47}{space 1}   -2.84{col 56}{space 3}0.006{col 64}{space 4}-.1578752{col 77}{space 3}-.0271472
{txt}{space 5}log_accountlength {c |}{col 24}{res}{space 2}-.0782685{col 36}{space 2} .0927837{col 47}{space 1}   -0.84{col 56}{space 3}0.403{col 64}{space 4}-.2641366{col 77}{space 3} .1075996
{txt}{space 13}_Iprov_15 {c |}{col 24}{res}{space 2} .1362201{col 36}{space 2} .1019024{col 47}{space 1}    1.34{col 56}{space 3}0.187{col 64}{space 4}-.0679149{col 77}{space 3} .3403551
{txt}{space 13}_Iprov_21 {c |}{col 24}{res}{space 2}-.4716756{col 36}{space 2} .1528263{col 47}{space 1}   -3.09{col 56}{space 3}0.003{col 64}{space 4}-.7778236{col 77}{space 3}-.1655277
{txt}{space 13}_Iprov_22 {c |}{col 24}{res}{space 2} .2831275{col 36}{space 2} .0345041{col 47}{space 1}    8.21{col 56}{space 3}0.000{col 64}{space 4} .2140074{col 77}{space 3} .3522476
{txt}{space 13}_Iprov_23 {c |}{col 24}{res}{space 2} .0241498{col 36}{space 2} .0778519{col 47}{space 1}    0.31{col 56}{space 3}0.758{col 64}{space 4}-.1318062{col 77}{space 3} .1801058
{txt}{space 13}_Iprov_31 {c |}{col 24}{res}{space 2}-.4913828{col 36}{space 2} .0312582{col 47}{space 1}  -15.72{col 56}{space 3}0.000{col 64}{space 4}-.5540005{col 77}{space 3}-.4287651
{txt}{space 13}_Iprov_32 {c |}{col 24}{res}{space 2} -.370831{col 36}{space 2} .1222834{col 47}{space 1}   -3.03{col 56}{space 3}0.004{col 64}{space 4}-.6157941{col 77}{space 3}-.1258678
{txt}{space 13}_Iprov_33 {c |}{col 24}{res}{space 2}-.4962226{col 36}{space 2} .1102293{col 47}{space 1}   -4.50{col 56}{space 3}0.000{col 64}{space 4}-.7170385{col 77}{space 3}-.2754068
{txt}{space 13}_Iprov_34 {c |}{col 24}{res}{space 2} .2339934{col 36}{space 2}  .089095{col 47}{space 1}    2.63{col 56}{space 3}0.011{col 64}{space 4} .0555147{col 77}{space 3}  .412472
{txt}{space 13}_Iprov_35 {c |}{col 24}{res}{space 2}-.5805681{col 36}{space 2} .1756668{col 47}{space 1}   -3.30{col 56}{space 3}0.002{col 64}{space 4} -.932471{col 77}{space 3}-.2286653
{txt}{space 13}_Iprov_36 {c |}{col 24}{res}{space 2}-.1940853{col 36}{space 2}  .275106{col 47}{space 1}   -0.71{col 56}{space 3}0.483{col 64}{space 4}-.7451887{col 77}{space 3} .3570182
{txt}{space 13}_Iprov_37 {c |}{col 24}{res}{space 2}-.1036513{col 36}{space 2} .0849512{col 47}{space 1}   -1.22{col 56}{space 3}0.228{col 64}{space 4} -.273829{col 77}{space 3} .0665264
{txt}{space 13}_Iprov_41 {c |}{col 24}{res}{space 2}-.0136458{col 36}{space 2} .0710981{col 47}{space 1}   -0.19{col 56}{space 3}0.848{col 64}{space 4}-.1560724{col 77}{space 3} .1287809
{txt}{space 13}_Iprov_42 {c |}{col 24}{res}{space 2} .0932523{col 36}{space 2} .1586405{col 47}{space 1}    0.59{col 56}{space 3}0.559{col 64}{space 4}-.2245427{col 77}{space 3} .4110473
{txt}{space 13}_Iprov_43 {c |}{col 24}{res}{space 2}-.0251398{col 36}{space 2} .0515133{col 47}{space 1}   -0.49{col 56}{space 3}0.627{col 64}{space 4}-.1283334{col 77}{space 3} .0780538
{txt}{space 13}_Iprov_44 {c |}{col 24}{res}{space 2}-.0759009{col 36}{space 2} .1982764{col 47}{space 1}   -0.38{col 56}{space 3}0.703{col 64}{space 4}-.4730963{col 77}{space 3} .3212944
{txt}{space 13}_Iprov_45 {c |}{col 24}{res}{space 2} -.181163{col 36}{space 2} .1215978{col 47}{space 1}   -1.49{col 56}{space 3}0.142{col 64}{space 4}-.4247527{col 77}{space 3} .0624267
{txt}{space 13}_Iprov_50 {c |}{col 24}{res}{space 2}-.3534321{col 36}{space 2} .0318711{col 47}{space 1}  -11.09{col 56}{space 3}0.000{col 64}{space 4}-.4172775{col 77}{space 3}-.2895868
{txt}{space 13}_Iprov_51 {c |}{col 24}{res}{space 2} .1416518{col 36}{space 2} .0438759{col 47}{space 1}    3.23{col 56}{space 3}0.002{col 64}{space 4} .0537577{col 77}{space 3} .2295458
{txt}{space 13}_Iprov_52 {c |}{col 24}{res}{space 2} .2303592{col 36}{space 2} .0292831{col 47}{space 1}    7.87{col 56}{space 3}0.000{col 64}{space 4} .1716982{col 77}{space 3} .2890203
{txt}{space 13}_Iprov_53 {c |}{col 24}{res}{space 2}-.0312539{col 36}{space 2} .0541067{col 47}{space 1}   -0.58{col 56}{space 3}0.566{col 64}{space 4}-.1396427{col 77}{space 3} .0771348
{txt}{space 13}_Iprov_61 {c |}{col 24}{res}{space 2}-.0691335{col 36}{space 2} .0862065{col 47}{space 1}   -0.80{col 56}{space 3}0.426{col 64}{space 4}-.2418259{col 77}{space 3} .1035589
{txt}{space 13}_Iprov_62 {c |}{col 24}{res}{space 2}-.0626127{col 36}{space 2} .0455452{col 47}{space 1}   -1.37{col 56}{space 3}0.175{col 64}{space 4}-.1538507{col 77}{space 3} .0286252
{txt}{space 13}_Iprov_64 {c |}{col 24}{res}{space 2} .1369809{col 36}{space 2} .0442877{col 47}{space 1}    3.09{col 56}{space 3}0.003{col 64}{space 4}  .048262{col 77}{space 3} .2256998
{txt}{space 13}_Iprov_65 {c |}{col 24}{res}{space 2} .2958568{col 36}{space 2} .0640533{col 47}{space 1}    4.62{col 56}{space 3}0.000{col 64}{space 4} .1675426{col 77}{space 3}  .424171
{txt}{space 17}_cons {c |}{col 24}{res}{space 2} 4.072083{col 36}{space 2} .7927066{col 47}{space 1}    5.14{col 56}{space 3}0.000{col 64}{space 4} 2.484101{col 77}{space 3} 5.660065
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. estimates store table3_1_1
{txt}
{com}. estadd ysumm

{txt}added scalars:
                e(ysd) =  {res}.78547588
               {txt}e(ymax) =  {res}4
               {txt}e(ymin) =  {res}1
              {txt}e(ymean) =  {res}3.3356201
{txt}
{com}. 
. xi:reg trustcentralhead CRdeath_pop_prefecture `individual_controls' `prefectural_controls' `minimum_controls' if local==1,cl(city_id)
{txt}i.prov{col 19}_Iprov_13-65{col 39}(naturally coded; _Iprov_13 omitted)
note: _Iprov_22 omitted because of collinearity
note: _Iprov_31 omitted because of collinearity
note: _Iprov_32 omitted because of collinearity
note: _Iprov_37 omitted because of collinearity
note: _Iprov_41 omitted because of collinearity
note: _Iprov_45 omitted because of collinearity
note: _Iprov_50 omitted because of collinearity
note: _Iprov_51 omitted because of collinearity
note: _Iprov_52 omitted because of collinearity
note: _Iprov_64 omitted because of collinearity
note: _Iprov_65 omitted because of collinearity

Linear regression                               Number of obs     = {res}     1,296
                                                {txt}{help j_robustsingular:F(35, 42) }        =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.1214
                                                {txt}Root MSE          =    {res} .75318

{txt}{ralign 88:(Std. Err. adjusted for {res:43} clusters in city_id)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}      trustcentralhead{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
CRdeath_pop_prefecture {c |}{col 24}{res}{space 2}-.2593761{col 36}{space 2} .0374065{col 47}{space 1}   -6.93{col 56}{space 3}0.000{col 64}{space 4}-.3348655{col 77}{space 3}-.1838867
{txt}{space 18}male {c |}{col 24}{res}{space 2}-.0392473{col 36}{space 2}  .046408{col 47}{space 1}   -0.85{col 56}{space 3}0.403{col 64}{space 4}-.1329025{col 77}{space 3}  .054408
{txt}{space 19}age {c |}{col 24}{res}{space 2} .0034458{col 36}{space 2} .0081161{col 47}{space 1}    0.42{col 56}{space 3}0.673{col 64}{space 4}-.0129332{col 77}{space 3} .0198248
{txt}{space 13}agesquare {c |}{col 24}{res}{space 2} .0000217{col 36}{space 2} .0000764{col 47}{space 1}    0.28{col 56}{space 3}0.777{col 64}{space 4}-.0001324{col 77}{space 3} .0001759
{txt}{space 19}han {c |}{col 24}{res}{space 2} .0000906{col 36}{space 2} .0808429{col 47}{space 1}    0.00{col 56}{space 3}0.999{col 64}{space 4}-.1630569{col 77}{space 3} .1632382
{txt}{space 13}goodclass {c |}{col 24}{res}{space 2} .0367017{col 36}{space 2} .0844964{col 47}{space 1}    0.43{col 56}{space 3}0.666{col 64}{space 4}-.1338189{col 77}{space 3} .2072224
{txt}{space 14}midclass {c |}{col 24}{res}{space 2}  .062429{col 36}{space 2}  .095254{col 47}{space 1}    0.66{col 56}{space 3}0.516{col 64}{space 4}-.1298014{col 77}{space 3} .2546594
{txt}{space 5}sexratio_1964_pre {c |}{col 24}{res}{space 2}-2.751077{col 36}{space 2} .6095444{col 47}{space 1}   -4.51{col 56}{space 3}0.000{col 64}{space 4}-3.981188{col 77}{space 3}-1.520967
{txt}urbanpopratio_1964_pre {c |}{col 24}{res}{space 2} .0601472{col 36}{space 2} .0099203{col 47}{space 1}    6.06{col 56}{space 3}0.000{col 64}{space 4} .0401273{col 77}{space 3} .0801672
{txt}{space 4}qingrebellioncount {c |}{col 24}{res}{space 2} .0376302{col 36}{space 2} .0117546{col 47}{space 1}    3.20{col 56}{space 3}0.003{col 64}{space 4} .0139085{col 77}{space 3} .0613519
{txt}{space 8}popdensity1964 {c |}{col 24}{res}{space 2} .0008248{col 36}{space 2} .0003016{col 47}{space 1}    2.74{col 56}{space 3}0.009{col 64}{space 4} .0002163{col 77}{space 3} .0014334
{txt}{space 14}lnpergdp {c |}{col 24}{res}{space 2}-1.192868{col 36}{space 2} .3856682{col 47}{space 1}   -3.09{col 56}{space 3}0.004{col 64}{space 4}-1.971178{col 77}{space 3}-.4145578
{txt}{space 15}shouzai {c |}{col 24}{res}{space 2}-.1299033{col 36}{space 2} .0401566{col 47}{space 1}   -3.23{col 56}{space 3}0.002{col 64}{space 4}-.2109425{col 77}{space 3} -.048864
{txt}{space 16}extrap {c |}{col 24}{res}{space 2} .3116996{col 36}{space 2}  .074137{col 47}{space 1}    4.20{col 56}{space 3}0.000{col 64}{space 4} .1620851{col 77}{space 3}  .461314
{txt}{space 19}pmd {c |}{col 24}{res}{space 2} .0421389{col 36}{space 2} .0091777{col 47}{space 1}    4.59{col 56}{space 3}0.000{col 64}{space 4} .0236176{col 77}{space 3} .0606603
{txt}{space 13}longitude {c |}{col 24}{res}{space 2}-.1013782{col 36}{space 2}  .021524{col 47}{space 1}   -4.71{col 56}{space 3}0.000{col 64}{space 4}-.1448155{col 77}{space 3}-.0579409
{txt}{space 14}latitude {c |}{col 24}{res}{space 2} .0038814{col 36}{space 2} .0358304{col 47}{space 1}    0.11{col 56}{space 3}0.914{col 64}{space 4}-.0684273{col 77}{space 3} .0761901
{txt}{space 14}resource {c |}{col 24}{res}{space 2} .1226879{col 36}{space 2} .0705783{col 47}{space 1}    1.74{col 56}{space 3}0.089{col 64}{space 4}-.0197448{col 77}{space 3} .2651206
{txt}{space 16}colony {c |}{col 24}{res}{space 2} -.503437{col 36}{space 2} .1282844{col 47}{space 1}   -3.92{col 56}{space 3}0.000{col 64}{space 4}-.7623253{col 77}{space 3}-.2445486
{txt}{space 16}suit_m {c |}{col 24}{res}{space 2}  .220452{col 36}{space 2} .0868276{col 47}{space 1}    2.54{col 56}{space 3}0.015{col 64}{space 4} .0452269{col 77}{space 3} .3956771
{txt}{space 5}distancetobeijing {c |}{col 24}{res}{space 2}-.0010423{col 36}{space 2} .0004206{col 47}{space 1}   -2.48{col 56}{space 3}0.017{col 64}{space 4}-.0018911{col 77}{space 3}-.0001935
{txt}{space 11}riverlength {c |}{col 24}{res}{space 2} .0034297{col 36}{space 2} .0005758{col 47}{space 1}    5.96{col 56}{space 3}0.000{col 64}{space 4} .0022677{col 77}{space 3} .0045918
{txt}{space 5}log_accountlength {c |}{col 24}{res}{space 2} .0871002{col 36}{space 2} .0551155{col 47}{space 1}    1.58{col 56}{space 3}0.122{col 64}{space 4}-.0241274{col 77}{space 3} .1983278
{txt}{space 13}_Iprov_15 {c |}{col 24}{res}{space 2} 2.427303{col 36}{space 2} .4278558{col 47}{space 1}    5.67{col 56}{space 3}0.000{col 64}{space 4} 1.563855{col 77}{space 3} 3.290751
{txt}{space 13}_Iprov_21 {c |}{col 24}{res}{space 2} -.233702{col 36}{space 2} .2771542{col 47}{space 1}   -0.84{col 56}{space 3}0.404{col 64}{space 4}-.7930218{col 77}{space 3} .3256177
{txt}{space 13}_Iprov_22 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_23 {c |}{col 24}{res}{space 2}  1.86499{col 36}{space 2} .4790384{col 47}{space 1}    3.89{col 56}{space 3}0.000{col 64}{space 4} .8982513{col 77}{space 3} 2.831729
{txt}{space 13}_Iprov_31 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_32 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_33 {c |}{col 24}{res}{space 2} 1.839371{col 36}{space 2}  .515033{col 47}{space 1}    3.57{col 56}{space 3}0.001{col 64}{space 4} .7999923{col 77}{space 3}  2.87875
{txt}{space 13}_Iprov_34 {c |}{col 24}{res}{space 2} 1.743091{col 36}{space 2} .3313365{col 47}{space 1}    5.26{col 56}{space 3}0.000{col 64}{space 4} 1.074427{col 77}{space 3} 2.411756
{txt}{space 13}_Iprov_35 {c |}{col 24}{res}{space 2}  .299034{col 36}{space 2} .3481994{col 47}{space 1}    0.86{col 56}{space 3}0.395{col 64}{space 4}-.4036607{col 77}{space 3} 1.001729
{txt}{space 13}_Iprov_36 {c |}{col 24}{res}{space 2}-.5450766{col 36}{space 2} .3225706{col 47}{space 1}   -1.69{col 56}{space 3}0.098{col 64}{space 4} -1.19605{col 77}{space 3} .1058972
{txt}{space 13}_Iprov_37 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_41 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_42 {c |}{col 24}{res}{space 2} 1.146877{col 36}{space 2} .2701509{col 47}{space 1}    4.25{col 56}{space 3}0.000{col 64}{space 4} .6016904{col 77}{space 3} 1.692064
{txt}{space 13}_Iprov_43 {c |}{col 24}{res}{space 2} .0115423{col 36}{space 2} .1782035{col 47}{space 1}    0.06{col 56}{space 3}0.949{col 64}{space 4} -.348087{col 77}{space 3} .3711716
{txt}{space 13}_Iprov_44 {c |}{col 24}{res}{space 2} 1.301105{col 36}{space 2} .4900444{col 47}{space 1}    2.66{col 56}{space 3}0.011{col 64}{space 4} .3121555{col 77}{space 3} 2.290055
{txt}{space 13}_Iprov_45 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_50 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_51 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_52 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_53 {c |}{col 24}{res}{space 2}-.4265556{col 36}{space 2} .1902366{col 47}{space 1}   -2.24{col 56}{space 3}0.030{col 64}{space 4}-.8104686{col 77}{space 3}-.0426425
{txt}{space 13}_Iprov_61 {c |}{col 24}{res}{space 2} .0377779{col 36}{space 2} .0805345{col 47}{space 1}    0.47{col 56}{space 3}0.641{col 64}{space 4}-.1247472{col 77}{space 3}  .200303
{txt}{space 13}_Iprov_62 {c |}{col 24}{res}{space 2}-1.180124{col 36}{space 2} .3363239{col 47}{space 1}   -3.51{col 56}{space 3}0.001{col 64}{space 4}-1.858853{col 77}{space 3}-.5013946
{txt}{space 13}_Iprov_64 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_65 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 17}_cons {c |}{col 24}{res}{space 2} 21.20007{col 36}{space 2}  4.60815{col 47}{space 1}    4.60{col 56}{space 3}0.000{col 64}{space 4} 11.90045{col 77}{space 3}  30.4997
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. estimates store table3_1_2
{txt}
{com}. estadd ysumm

{txt}added scalars:
                e(ysd) =  {res}.79230737
               {txt}e(ymax) =  {res}4
               {txt}e(ymin) =  {res}1
              {txt}e(ymean) =  {res}3.3263889
{txt}
{com}. 
. xi:reg lackingdemocracy CRdeath_pop_prefecture `minimum_controls'  if local==1,cl(city_id)
{txt}i.prov{col 19}_Iprov_13-65{col 39}(naturally coded; _Iprov_13 omitted)

Linear regression                               Number of obs     = {res}     1,724
                                                {txt}{help j_robustsingular:F(21, 56) }        =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.0628
                                                {txt}Root MSE          =    {res} 2.6643

{txt}{ralign 88:(Std. Err. adjusted for {res:57} clusters in city_id)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}      lackingdemocracy{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
CRdeath_pop_prefecture {c |}{col 24}{res}{space 2} .2709942{col 36}{space 2} .1384774{col 47}{space 1}    1.96{col 56}{space 3}0.055{col 64}{space 4}-.0064094{col 77}{space 3} .5483977
{txt}{space 5}log_accountlength {c |}{col 24}{res}{space 2} .4169766{col 36}{space 2} .4597872{col 47}{space 1}    0.91{col 56}{space 3}0.368{col 64}{space 4}-.5040879{col 77}{space 3} 1.338041
{txt}{space 13}_Iprov_15 {c |}{col 24}{res}{space 2} .5985229{col 36}{space 2} .4742216{col 47}{space 1}    1.26{col 56}{space 3}0.212{col 64}{space 4}-.3514572{col 77}{space 3} 1.548503
{txt}{space 13}_Iprov_21 {c |}{col 24}{res}{space 2} 1.590056{col 36}{space 2} .2681767{col 47}{space 1}    5.93{col 56}{space 3}0.000{col 64}{space 4} 1.052833{col 77}{space 3} 2.127278
{txt}{space 13}_Iprov_22 {c |}{col 24}{res}{space 2} 1.541519{col 36}{space 2} .1801944{col 47}{space 1}    8.55{col 56}{space 3}0.000{col 64}{space 4} 1.180547{col 77}{space 3} 1.902492
{txt}{space 13}_Iprov_23 {c |}{col 24}{res}{space 2} 1.407618{col 36}{space 2} .4091215{col 47}{space 1}    3.44{col 56}{space 3}0.001{col 64}{space 4}  .588049{col 77}{space 3} 2.227187
{txt}{space 13}_Iprov_31 {c |}{col 24}{res}{space 2} 2.405296{col 36}{space 2} .1357531{col 47}{space 1}   17.72{col 56}{space 3}0.000{col 64}{space 4} 2.133349{col 77}{space 3} 2.677242
{txt}{space 13}_Iprov_32 {c |}{col 24}{res}{space 2} 1.099217{col 36}{space 2} .3032602{col 47}{space 1}    3.62{col 56}{space 3}0.001{col 64}{space 4} .4917134{col 77}{space 3}  1.70672
{txt}{space 13}_Iprov_33 {c |}{col 24}{res}{space 2} 2.033686{col 36}{space 2} .3925002{col 47}{space 1}    5.18{col 56}{space 3}0.000{col 64}{space 4} 1.247413{col 77}{space 3} 2.819958
{txt}{space 13}_Iprov_34 {c |}{col 24}{res}{space 2} .2715013{col 36}{space 2} .8123588{col 47}{space 1}    0.33{col 56}{space 3}0.739{col 64}{space 4}-1.355849{col 77}{space 3} 1.898852
{txt}{space 13}_Iprov_35 {c |}{col 24}{res}{space 2} 1.627626{col 36}{space 2} .3644952{col 47}{space 1}    4.47{col 56}{space 3}0.000{col 64}{space 4} .8974548{col 77}{space 3} 2.357798
{txt}{space 13}_Iprov_36 {c |}{col 24}{res}{space 2} 2.137086{col 36}{space 2} .5862396{col 47}{space 1}    3.65{col 56}{space 3}0.001{col 64}{space 4} .9627073{col 77}{space 3} 3.311465
{txt}{space 13}_Iprov_37 {c |}{col 24}{res}{space 2} 1.284752{col 36}{space 2} .5330117{col 47}{space 1}    2.41{col 56}{space 3}0.019{col 64}{space 4} .2170015{col 77}{space 3} 2.352503
{txt}{space 13}_Iprov_41 {c |}{col 24}{res}{space 2} .4172654{col 36}{space 2} .5409156{col 47}{space 1}    0.77{col 56}{space 3}0.444{col 64}{space 4}-.6663187{col 77}{space 3} 1.500849
{txt}{space 13}_Iprov_42 {c |}{col 24}{res}{space 2} 1.320168{col 36}{space 2} .9426607{col 47}{space 1}    1.40{col 56}{space 3}0.167{col 64}{space 4}-.5682079{col 77}{space 3} 3.208545
{txt}{space 13}_Iprov_43 {c |}{col 24}{res}{space 2} 1.837986{col 36}{space 2} .2360167{col 47}{space 1}    7.79{col 56}{space 3}0.000{col 64}{space 4} 1.365188{col 77}{space 3} 2.310784
{txt}{space 13}_Iprov_44 {c |}{col 24}{res}{space 2} 1.867421{col 36}{space 2}   .49708{col 47}{space 1}    3.76{col 56}{space 3}0.000{col 64}{space 4} .8716498{col 77}{space 3} 2.863192
{txt}{space 13}_Iprov_45 {c |}{col 24}{res}{space 2} .3738662{col 36}{space 2} .4399824{col 47}{space 1}    0.85{col 56}{space 3}0.399{col 64}{space 4}-.5075244{col 77}{space 3} 1.255257
{txt}{space 13}_Iprov_50 {c |}{col 24}{res}{space 2} 1.388044{col 36}{space 2} .1600685{col 47}{space 1}    8.67{col 56}{space 3}0.000{col 64}{space 4} 1.067388{col 77}{space 3} 1.708699
{txt}{space 13}_Iprov_51 {c |}{col 24}{res}{space 2} .6541587{col 36}{space 2} .2828962{col 47}{space 1}    2.31{col 56}{space 3}0.024{col 64}{space 4} .0874495{col 77}{space 3} 1.220868
{txt}{space 13}_Iprov_52 {c |}{col 24}{res}{space 2} 1.042572{col 36}{space 2} .1095034{col 47}{space 1}    9.52{col 56}{space 3}0.000{col 64}{space 4} .8232101{col 77}{space 3} 1.261934
{txt}{space 13}_Iprov_53 {c |}{col 24}{res}{space 2} .6202711{col 36}{space 2} .4904803{col 47}{space 1}    1.26{col 56}{space 3}0.211{col 64}{space 4}-.3622791{col 77}{space 3} 1.602821
{txt}{space 13}_Iprov_61 {c |}{col 24}{res}{space 2} .0125753{col 36}{space 2} .4839393{col 47}{space 1}    0.03{col 56}{space 3}0.979{col 64}{space 4}-.9568715{col 77}{space 3} .9820222
{txt}{space 13}_Iprov_62 {c |}{col 24}{res}{space 2}-.1447283{col 36}{space 2} .2069466{col 47}{space 1}   -0.70{col 56}{space 3}0.487{col 64}{space 4}-.5592922{col 77}{space 3} .2698355
{txt}{space 13}_Iprov_64 {c |}{col 24}{res}{space 2}-.2517183{col 36}{space 2} .2402988{col 47}{space 1}   -1.05{col 56}{space 3}0.299{col 64}{space 4}-.7330946{col 77}{space 3} .2296579
{txt}{space 13}_Iprov_65 {c |}{col 24}{res}{space 2} .0033663{col 36}{space 2} .2819761{col 47}{space 1}    0.01{col 56}{space 3}0.991{col 64}{space 4}-.5614997{col 77}{space 3} .5682322
{txt}{space 17}_cons {c |}{col 24}{res}{space 2}-.3754996{col 36}{space 2} 3.978959{col 47}{space 1}   -0.09{col 56}{space 3}0.925{col 64}{space 4}-8.346312{col 77}{space 3} 7.595312
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. estimates store table3_1_3
{txt}
{com}. estadd ysumm

{txt}added scalars:
                e(ysd) =  {res}2.7312196
               {txt}e(ymax) =  {res}10
               {txt}e(ymin) =  {res}0
              {txt}e(ymean) =  {res}4.0968677
{txt}
{com}. 
. xi:reg lackingdemocracy CRdeath_pop_prefecture `individual_controls' `prefectural_controls' `minimum_controls'  if local==1,cl(city_id)
{txt}i.prov{col 19}_Iprov_13-65{col 39}(naturally coded; _Iprov_13 omitted)
note: _Iprov_22 omitted because of collinearity
note: _Iprov_31 omitted because of collinearity
note: _Iprov_32 omitted because of collinearity
note: _Iprov_37 omitted because of collinearity
note: _Iprov_41 omitted because of collinearity
note: _Iprov_45 omitted because of collinearity
note: _Iprov_50 omitted because of collinearity
note: _Iprov_51 omitted because of collinearity
note: _Iprov_52 omitted because of collinearity
note: _Iprov_64 omitted because of collinearity
note: _Iprov_65 omitted because of collinearity

Linear regression                               Number of obs     = {res}     1,201
                                                {txt}{help j_robustsingular:F(35, 42) }        =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.1189
                                                {txt}Root MSE          =    {res} 2.6536

{txt}{ralign 88:(Std. Err. adjusted for {res:43} clusters in city_id)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}      lackingdemocracy{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
CRdeath_pop_prefecture {c |}{col 24}{res}{space 2} 1.130773{col 36}{space 2}  .148052{col 47}{space 1}    7.64{col 56}{space 3}0.000{col 64}{space 4} .8319922{col 77}{space 3} 1.429554
{txt}{space 18}male {c |}{col 24}{res}{space 2} .1168876{col 36}{space 2} .1816853{col 47}{space 1}    0.64{col 56}{space 3}0.523{col 64}{space 4}-.2497682{col 77}{space 3} .4835434
{txt}{space 19}age {c |}{col 24}{res}{space 2}-.0518374{col 36}{space 2} .0264557{col 47}{space 1}   -1.96{col 56}{space 3}0.057{col 64}{space 4}-.1052272{col 77}{space 3} .0015524
{txt}{space 13}agesquare {c |}{col 24}{res}{space 2} .0003415{col 36}{space 2} .0002531{col 47}{space 1}    1.35{col 56}{space 3}0.184{col 64}{space 4}-.0001693{col 77}{space 3} .0008522
{txt}{space 19}han {c |}{col 24}{res}{space 2}-.1745211{col 36}{space 2} .3294675{col 47}{space 1}   -0.53{col 56}{space 3}0.599{col 64}{space 4}-.8394134{col 77}{space 3} .4903712
{txt}{space 13}goodclass {c |}{col 24}{res}{space 2} -.117966{col 36}{space 2} .4543165{col 47}{space 1}   -0.26{col 56}{space 3}0.796{col 64}{space 4}-1.034814{col 77}{space 3} .7988818
{txt}{space 14}midclass {c |}{col 24}{res}{space 2}-.2452496{col 36}{space 2} .4672097{col 47}{space 1}   -0.52{col 56}{space 3}0.602{col 64}{space 4}-1.188117{col 77}{space 3} .6976177
{txt}{space 5}sexratio_1964_pre {c |}{col 24}{res}{space 2} 13.88319{col 36}{space 2} 3.201815{col 47}{space 1}    4.34{col 56}{space 3}0.000{col 64}{space 4} 7.421661{col 77}{space 3} 20.34471
{txt}urbanpopratio_1964_pre {c |}{col 24}{res}{space 2}-.1985049{col 36}{space 2} .0409074{col 47}{space 1}   -4.85{col 56}{space 3}0.000{col 64}{space 4}-.2810595{col 77}{space 3}-.1159504
{txt}{space 4}qingrebellioncount {c |}{col 24}{res}{space 2}-.0146074{col 36}{space 2} .0587772{col 47}{space 1}   -0.25{col 56}{space 3}0.805{col 64}{space 4}-.1332246{col 77}{space 3} .1040097
{txt}{space 8}popdensity1964 {c |}{col 24}{res}{space 2}-.0026199{col 36}{space 2} .0014215{col 47}{space 1}   -1.84{col 56}{space 3}0.072{col 64}{space 4}-.0054886{col 77}{space 3} .0002488
{txt}{space 14}lnpergdp {c |}{col 24}{res}{space 2} 6.708664{col 36}{space 2} 1.645618{col 47}{space 1}    4.08{col 56}{space 3}0.000{col 64}{space 4} 3.387672{col 77}{space 3} 10.02966
{txt}{space 15}shouzai {c |}{col 24}{res}{space 2}  .460195{col 36}{space 2} .1689156{col 47}{space 1}    2.72{col 56}{space 3}0.009{col 64}{space 4} .1193095{col 77}{space 3} .8010805
{txt}{space 16}extrap {c |}{col 24}{res}{space 2} -1.50922{col 36}{space 2} .3224157{col 47}{space 1}   -4.68{col 56}{space 3}0.000{col 64}{space 4}-2.159881{col 77}{space 3}-.8585583
{txt}{space 19}pmd {c |}{col 24}{res}{space 2}-.1597632{col 36}{space 2} .0400687{col 47}{space 1}   -3.99{col 56}{space 3}0.000{col 64}{space 4}-.2406252{col 77}{space 3}-.0789012
{txt}{space 13}longitude {c |}{col 24}{res}{space 2}   .51106{col 36}{space 2} .1089436{col 47}{space 1}    4.69{col 56}{space 3}0.000{col 64}{space 4} .2912029{col 77}{space 3} .7309171
{txt}{space 14}latitude {c |}{col 24}{res}{space 2}-.1118342{col 36}{space 2} .1682063{col 47}{space 1}   -0.66{col 56}{space 3}0.510{col 64}{space 4}-.4512883{col 77}{space 3}   .22762
{txt}{space 14}resource {c |}{col 24}{res}{space 2}-.8667122{col 36}{space 2} .2299683{col 47}{space 1}   -3.77{col 56}{space 3}0.001{col 64}{space 4}-1.330807{col 77}{space 3}-.4026174
{txt}{space 16}colony {c |}{col 24}{res}{space 2} .7761466{col 36}{space 2} .4791673{col 47}{space 1}    1.62{col 56}{space 3}0.113{col 64}{space 4}-.1908522{col 77}{space 3} 1.743145
{txt}{space 16}suit_m {c |}{col 24}{res}{space 2}-1.351817{col 36}{space 2} .3595877{col 47}{space 1}   -3.76{col 56}{space 3}0.001{col 64}{space 4}-2.077494{col 77}{space 3}-.6261391
{txt}{space 5}distancetobeijing {c |}{col 24}{res}{space 2}    .0038{col 36}{space 2} .0017569{col 47}{space 1}    2.16{col 56}{space 3}0.036{col 64}{space 4} .0002544{col 77}{space 3} .0073456
{txt}{space 11}riverlength {c |}{col 24}{res}{space 2}-.0124047{col 36}{space 2} .0027043{col 47}{space 1}   -4.59{col 56}{space 3}0.000{col 64}{space 4}-.0178622{col 77}{space 3}-.0069472
{txt}{space 5}log_accountlength {c |}{col 24}{res}{space 2}   .25641{col 36}{space 2} .4552018{col 47}{space 1}    0.56{col 56}{space 3}0.576{col 64}{space 4}-.6622244{col 77}{space 3} 1.175044
{txt}{space 13}_Iprov_15 {c |}{col 24}{res}{space 2}-11.74553{col 36}{space 2}  1.96411{col 47}{space 1}   -5.98{col 56}{space 3}0.000{col 64}{space 4}-15.70926{col 77}{space 3}-7.781794
{txt}{space 13}_Iprov_21 {c |}{col 24}{res}{space 2}-2.859884{col 36}{space 2} 1.248464{col 47}{space 1}   -2.29{col 56}{space 3}0.027{col 64}{space 4}-5.379387{col 77}{space 3}-.3403804
{txt}{space 13}_Iprov_22 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_23 {c |}{col 24}{res}{space 2}-9.698777{col 36}{space 2} 2.085754{col 47}{space 1}   -4.65{col 56}{space 3}0.000{col 64}{space 4}  -13.908{col 77}{space 3}-5.489556
{txt}{space 13}_Iprov_31 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_32 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_33 {c |}{col 24}{res}{space 2}-9.747736{col 36}{space 2} 2.059769{col 47}{space 1}   -4.73{col 56}{space 3}0.000{col 64}{space 4}-13.90452{col 77}{space 3}-5.590955
{txt}{space 13}_Iprov_34 {c |}{col 24}{res}{space 2} -7.19488{col 36}{space 2} 1.448235{col 47}{space 1}   -4.97{col 56}{space 3}0.000{col 64}{space 4}-10.11754{col 77}{space 3}-4.272223
{txt}{space 13}_Iprov_35 {c |}{col 24}{res}{space 2}-3.926139{col 36}{space 2} 1.776417{col 47}{space 1}   -2.21{col 56}{space 3}0.033{col 64}{space 4}-7.511093{col 77}{space 3}-.3411849
{txt}{space 13}_Iprov_36 {c |}{col 24}{res}{space 2} 1.719153{col 36}{space 2} 1.199348{col 47}{space 1}    1.43{col 56}{space 3}0.159{col 64}{space 4}-.7012303{col 77}{space 3} 4.139536
{txt}{space 13}_Iprov_37 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_41 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_42 {c |}{col 24}{res}{space 2}-4.192255{col 36}{space 2} 1.078659{col 47}{space 1}   -3.89{col 56}{space 3}0.000{col 64}{space 4}-6.369076{col 77}{space 3}-2.015434
{txt}{space 13}_Iprov_43 {c |}{col 24}{res}{space 2} .2350925{col 36}{space 2} .4660119{col 47}{space 1}    0.50{col 56}{space 3}0.617{col 64}{space 4}-.7053576{col 77}{space 3} 1.175543
{txt}{space 13}_Iprov_44 {c |}{col 24}{res}{space 2}-4.361703{col 36}{space 2}  2.09068{col 47}{space 1}   -2.09{col 56}{space 3}0.043{col 64}{space 4}-8.580865{col 77}{space 3}-.1425404
{txt}{space 13}_Iprov_45 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_50 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_51 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_52 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_53 {c |}{col 24}{res}{space 2} 1.393478{col 36}{space 2}  .894449{col 47}{space 1}    1.56{col 56}{space 3}0.127{col 64}{space 4}-.4115933{col 77}{space 3} 3.198549
{txt}{space 13}_Iprov_61 {c |}{col 24}{res}{space 2}-2.701988{col 36}{space 2} .4766217{col 47}{space 1}   -5.67{col 56}{space 3}0.000{col 64}{space 4} -3.66385{col 77}{space 3}-1.740127
{txt}{space 13}_Iprov_62 {c |}{col 24}{res}{space 2} 2.939981{col 36}{space 2} 1.346628{col 47}{space 1}    2.18{col 56}{space 3}0.035{col 64}{space 4} .2223757{col 77}{space 3} 5.657586
{txt}{space 13}_Iprov_64 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_65 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 17}_cons {c |}{col 24}{res}{space 2} -92.3603{col 36}{space 2} 20.96376{col 47}{space 1}   -4.41{col 56}{space 3}0.000{col 64}{space 4}-134.6669{col 77}{space 3}-50.05373
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. estimates store table3_1_4
{txt}
{com}. estadd ysumm

{txt}added scalars:
                e(ysd) =  {res}2.7843213
               {txt}e(ymax) =  {res}10
               {txt}e(ymin) =  {res}0
              {txt}e(ymean) =  {res}4.0649459
{txt}
{com}. 
. xi:reg lackingfreeexpression CRdeath_pop_prefecture `minimum_controls' if local==1,cl(city_id)
{txt}i.prov{col 19}_Iprov_13-65{col 39}(naturally coded; _Iprov_13 omitted)

Linear regression                               Number of obs     = {res}     1,887
                                                {txt}{help j_robustsingular:F(21, 56) }        =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.0831
                                                {txt}Root MSE          =    {res} 2.6811

{txt}{ralign 88:(Std. Err. adjusted for {res:57} clusters in city_id)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1} lackingfreeexpression{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
CRdeath_pop_prefecture {c |}{col 24}{res}{space 2} .0683943{col 36}{space 2} .1928801{col 47}{space 1}    0.35{col 56}{space 3}0.724{col 64}{space 4}-.3179909{col 77}{space 3} .4547795
{txt}{space 5}log_accountlength {c |}{col 24}{res}{space 2} .1740069{col 36}{space 2} .3754928{col 47}{space 1}    0.46{col 56}{space 3}0.645{col 64}{space 4}-.5781957{col 77}{space 3} .9262094
{txt}{space 13}_Iprov_15 {c |}{col 24}{res}{space 2} 1.264481{col 36}{space 2} .6159678{col 47}{space 1}    2.05{col 56}{space 3}0.045{col 64}{space 4} .0305495{col 77}{space 3} 2.498413
{txt}{space 13}_Iprov_21 {c |}{col 24}{res}{space 2} .9828345{col 36}{space 2} .3632692{col 47}{space 1}    2.71{col 56}{space 3}0.009{col 64}{space 4} .2551189{col 77}{space 3}  1.71055
{txt}{space 13}_Iprov_22 {c |}{col 24}{res}{space 2}-.1988702{col 36}{space 2}  .171993{col 47}{space 1}   -1.16{col 56}{space 3}0.252{col 64}{space 4}-.5434135{col 77}{space 3} .1456732
{txt}{space 13}_Iprov_23 {c |}{col 24}{res}{space 2}-.0883107{col 36}{space 2} .4455252{col 47}{space 1}   -0.20{col 56}{space 3}0.844{col 64}{space 4}-.9808049{col 77}{space 3} .8041835
{txt}{space 13}_Iprov_31 {c |}{col 24}{res}{space 2} 3.731067{col 36}{space 2} .1024096{col 47}{space 1}   36.43{col 56}{space 3}0.000{col 64}{space 4} 3.525916{col 77}{space 3} 3.936218
{txt}{space 13}_Iprov_32 {c |}{col 24}{res}{space 2} .9008642{col 36}{space 2} .3598099{col 47}{space 1}    2.50{col 56}{space 3}0.015{col 64}{space 4} .1800783{col 77}{space 3}  1.62165
{txt}{space 13}_Iprov_33 {c |}{col 24}{res}{space 2} 1.337486{col 36}{space 2} .7458208{col 47}{space 1}    1.79{col 56}{space 3}0.078{col 64}{space 4} -.156573{col 77}{space 3} 2.831544
{txt}{space 13}_Iprov_34 {c |}{col 24}{res}{space 2}-.2973087{col 36}{space 2}  .386748{col 47}{space 1}   -0.77{col 56}{space 3}0.445{col 64}{space 4}-1.072058{col 77}{space 3} .4774405
{txt}{space 13}_Iprov_35 {c |}{col 24}{res}{space 2} 1.506864{col 36}{space 2} .3927938{col 47}{space 1}    3.84{col 56}{space 3}0.000{col 64}{space 4} .7200036{col 77}{space 3} 2.293725
{txt}{space 13}_Iprov_36 {c |}{col 24}{res}{space 2} 1.815923{col 36}{space 2} .4146716{col 47}{space 1}    4.38{col 56}{space 3}0.000{col 64}{space 4} .9852364{col 77}{space 3}  2.64661
{txt}{space 13}_Iprov_37 {c |}{col 24}{res}{space 2} 1.352771{col 36}{space 2} .5136224{col 47}{space 1}    2.63{col 56}{space 3}0.011{col 64}{space 4} .3238617{col 77}{space 3}  2.38168
{txt}{space 13}_Iprov_41 {c |}{col 24}{res}{space 2} .1070368{col 36}{space 2} .1861922{col 47}{space 1}    0.57{col 56}{space 3}0.568{col 64}{space 4} -.265951{col 77}{space 3} .4800246
{txt}{space 13}_Iprov_42 {c |}{col 24}{res}{space 2} .6714971{col 36}{space 2} .9596877{col 47}{space 1}    0.70{col 56}{space 3}0.487{col 64}{space 4}-1.250988{col 77}{space 3} 2.593983
{txt}{space 13}_Iprov_43 {c |}{col 24}{res}{space 2}  .444065{col 36}{space 2} .3884868{col 47}{space 1}    1.14{col 56}{space 3}0.258{col 64}{space 4}-.3341675{col 77}{space 3} 1.222298
{txt}{space 13}_Iprov_44 {c |}{col 24}{res}{space 2} 2.291698{col 36}{space 2} .3374047{col 47}{space 1}    6.79{col 56}{space 3}0.000{col 64}{space 4} 1.615795{col 77}{space 3} 2.967601
{txt}{space 13}_Iprov_45 {c |}{col 24}{res}{space 2} .7046438{col 36}{space 2} .6987699{col 47}{space 1}    1.01{col 56}{space 3}0.318{col 64}{space 4}-.6951605{col 77}{space 3} 2.104448
{txt}{space 13}_Iprov_50 {c |}{col 24}{res}{space 2} 1.150399{col 36}{space 2} .1593359{col 47}{space 1}    7.22{col 56}{space 3}0.000{col 64}{space 4} .8312111{col 77}{space 3} 1.469588
{txt}{space 13}_Iprov_51 {c |}{col 24}{res}{space 2} .4515945{col 36}{space 2} .1783644{col 47}{space 1}    2.53{col 56}{space 3}0.014{col 64}{space 4} .0942876{col 77}{space 3} .8089014
{txt}{space 13}_Iprov_52 {c |}{col 24}{res}{space 2} 1.827268{col 36}{space 2} .1225931{col 47}{space 1}   14.91{col 56}{space 3}0.000{col 64}{space 4} 1.581684{col 77}{space 3} 2.072851
{txt}{space 13}_Iprov_53 {c |}{col 24}{res}{space 2} 1.956146{col 36}{space 2} .1641916{col 47}{space 1}   11.91{col 56}{space 3}0.000{col 64}{space 4} 1.627231{col 77}{space 3} 2.285062
{txt}{space 13}_Iprov_61 {c |}{col 24}{res}{space 2} .5060983{col 36}{space 2} .3163807{col 47}{space 1}    1.60{col 56}{space 3}0.115{col 64}{space 4}-.1276885{col 77}{space 3} 1.139885
{txt}{space 13}_Iprov_62 {c |}{col 24}{res}{space 2}-.2210759{col 36}{space 2} .3264913{col 47}{space 1}   -0.68{col 56}{space 3}0.501{col 64}{space 4}-.8751166{col 77}{space 3} .4329647
{txt}{space 13}_Iprov_64 {c |}{col 24}{res}{space 2} 1.419536{col 36}{space 2} .2235174{col 47}{space 1}    6.35{col 56}{space 3}0.000{col 64}{space 4} .9717765{col 77}{space 3} 1.867295
{txt}{space 13}_Iprov_65 {c |}{col 24}{res}{space 2} 1.301272{col 36}{space 2} .0862224{col 47}{space 1}   15.09{col 56}{space 3}0.000{col 64}{space 4} 1.128547{col 77}{space 3} 1.473996
{txt}{space 17}_cons {c |}{col 24}{res}{space 2} .8915872{col 36}{space 2} 3.246316{col 47}{space 1}    0.27{col 56}{space 3}0.785{col 64}{space 4}-5.611566{col 77}{space 3}  7.39474
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. estimates store table3_1_5
{txt}
{com}. estadd ysumm

{txt}added scalars:
                e(ysd) =  {res}2.7806889
               {txt}e(ymax) =  {res}10
               {txt}e(ymin) =  {res}0
              {txt}e(ymean) =  {res}3.1738209
{txt}
{com}. 
. xi:reg lackingfreeexpression CRdeath_pop_prefecture `individual_controls' `prefectural_controls' `minimum_controls' if local==1,cl(city_id)
{txt}i.prov{col 19}_Iprov_13-65{col 39}(naturally coded; _Iprov_13 omitted)
note: _Iprov_22 omitted because of collinearity
note: _Iprov_31 omitted because of collinearity
note: _Iprov_32 omitted because of collinearity
note: _Iprov_37 omitted because of collinearity
note: _Iprov_41 omitted because of collinearity
note: _Iprov_45 omitted because of collinearity
note: _Iprov_50 omitted because of collinearity
note: _Iprov_51 omitted because of collinearity
note: _Iprov_52 omitted because of collinearity
note: _Iprov_64 omitted because of collinearity
note: _Iprov_65 omitted because of collinearity

Linear regression                               Number of obs     = {res}     1,319
                                                {txt}{help j_robustsingular:F(35, 42) }        =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.1289
                                                {txt}Root MSE          =    {res} 2.6392

{txt}{ralign 88:(Std. Err. adjusted for {res:43} clusters in city_id)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1} lackingfreeexpression{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
CRdeath_pop_prefecture {c |}{col 24}{res}{space 2}  1.04742{col 36}{space 2} .1705877{col 47}{space 1}    6.14{col 56}{space 3}0.000{col 64}{space 4}   .70316{col 77}{space 3}  1.39168
{txt}{space 18}male {c |}{col 24}{res}{space 2}-.0571399{col 36}{space 2} .1620376{col 47}{space 1}   -0.35{col 56}{space 3}0.726{col 64}{space 4}-.3841451{col 77}{space 3} .2698653
{txt}{space 19}age {c |}{col 24}{res}{space 2}-.0229551{col 36}{space 2} .0295824{col 47}{space 1}   -0.78{col 56}{space 3}0.442{col 64}{space 4}-.0826548{col 77}{space 3} .0367446
{txt}{space 13}agesquare {c |}{col 24}{res}{space 2} .0001097{col 36}{space 2} .0002915{col 47}{space 1}    0.38{col 56}{space 3}0.709{col 64}{space 4}-.0004785{col 77}{space 3} .0006979
{txt}{space 19}han {c |}{col 24}{res}{space 2}-.4355181{col 36}{space 2} .3527442{col 47}{space 1}   -1.23{col 56}{space 3}0.224{col 64}{space 4}-1.147385{col 77}{space 3} .2763486
{txt}{space 13}goodclass {c |}{col 24}{res}{space 2}-.1672603{col 36}{space 2}  .394178{col 47}{space 1}   -0.42{col 56}{space 3}0.673{col 64}{space 4}-.9627437{col 77}{space 3} .6282232
{txt}{space 14}midclass {c |}{col 24}{res}{space 2}-.0435075{col 36}{space 2} .3951943{col 47}{space 1}   -0.11{col 56}{space 3}0.913{col 64}{space 4}-.8410418{col 77}{space 3} .7540268
{txt}{space 5}sexratio_1964_pre {c |}{col 24}{res}{space 2} 21.14943{col 36}{space 2} 2.803767{col 47}{space 1}    7.54{col 56}{space 3}0.000{col 64}{space 4}  15.4912{col 77}{space 3} 26.80767
{txt}urbanpopratio_1964_pre {c |}{col 24}{res}{space 2}-.1350928{col 36}{space 2} .0322058{col 47}{space 1}   -4.19{col 56}{space 3}0.000{col 64}{space 4}-.2000867{col 77}{space 3} -.070099
{txt}{space 4}qingrebellioncount {c |}{col 24}{res}{space 2}-.1269546{col 36}{space 2} .0334324{col 47}{space 1}   -3.80{col 56}{space 3}0.000{col 64}{space 4}-.1944239{col 77}{space 3}-.0594853
{txt}{space 8}popdensity1964 {c |}{col 24}{res}{space 2} -.003318{col 36}{space 2} .0009386{col 47}{space 1}   -3.53{col 56}{space 3}0.001{col 64}{space 4}-.0052123{col 77}{space 3}-.0014238
{txt}{space 14}lnpergdp {c |}{col 24}{res}{space 2} 6.926901{col 36}{space 2} 1.272137{col 47}{space 1}    5.45{col 56}{space 3}0.000{col 64}{space 4} 4.359626{col 77}{space 3} 9.494177
{txt}{space 15}shouzai {c |}{col 24}{res}{space 2} .7466487{col 36}{space 2} .2080336{col 47}{space 1}    3.59{col 56}{space 3}0.001{col 64}{space 4} .3268199{col 77}{space 3} 1.166477
{txt}{space 16}extrap {c |}{col 24}{res}{space 2}-2.041894{col 36}{space 2} .3752454{col 47}{space 1}   -5.44{col 56}{space 3}0.000{col 64}{space 4} -2.79917{col 77}{space 3}-1.284618
{txt}{space 19}pmd {c |}{col 24}{res}{space 2}-.2238145{col 36}{space 2} .0447917{col 47}{space 1}   -5.00{col 56}{space 3}0.000{col 64}{space 4}-.3142079{col 77}{space 3}-.1334212
{txt}{space 13}longitude {c |}{col 24}{res}{space 2} .4836195{col 36}{space 2} .0925997{col 47}{space 1}    5.22{col 56}{space 3}0.000{col 64}{space 4} .2967458{col 77}{space 3} .6704933
{txt}{space 14}latitude {c |}{col 24}{res}{space 2}-.1475925{col 36}{space 2} .1294312{col 47}{space 1}   -1.14{col 56}{space 3}0.261{col 64}{space 4}-.4087953{col 77}{space 3} .1136103
{txt}{space 14}resource {c |}{col 24}{res}{space 2}-1.291846{col 36}{space 2}  .291388{col 47}{space 1}   -4.43{col 56}{space 3}0.000{col 64}{space 4}-1.879891{col 77}{space 3}-.7038011
{txt}{space 16}colony {c |}{col 24}{res}{space 2} 2.326108{col 36}{space 2} .3323658{col 47}{space 1}    7.00{col 56}{space 3}0.000{col 64}{space 4} 1.655367{col 77}{space 3}  2.99685
{txt}{space 16}suit_m {c |}{col 24}{res}{space 2}-.8528064{col 36}{space 2} .3511802{col 47}{space 1}   -2.43{col 56}{space 3}0.020{col 64}{space 4}-1.561517{col 77}{space 3}-.1440961
{txt}{space 5}distancetobeijing {c |}{col 24}{res}{space 2} .0044281{col 36}{space 2} .0019928{col 47}{space 1}    2.22{col 56}{space 3}0.032{col 64}{space 4} .0004063{col 77}{space 3} .0084498
{txt}{space 11}riverlength {c |}{col 24}{res}{space 2}-5.10e-06{col 36}{space 2} .0019839{col 47}{space 1}   -0.00{col 56}{space 3}0.998{col 64}{space 4}-.0040088{col 77}{space 3} .0039986
{txt}{space 5}log_accountlength {c |}{col 24}{res}{space 2}-.3144531{col 36}{space 2} .2208293{col 47}{space 1}   -1.42{col 56}{space 3}0.162{col 64}{space 4}-.7601045{col 77}{space 3} .1311984
{txt}{space 13}_Iprov_15 {c |}{col 24}{res}{space 2}-12.85203{col 36}{space 2} 2.267502{col 47}{space 1}   -5.67{col 56}{space 3}0.000{col 64}{space 4}-17.42804{col 77}{space 3}-8.276029
{txt}{space 13}_Iprov_21 {c |}{col 24}{res}{space 2} .0748823{col 36}{space 2} .8273915{col 47}{space 1}    0.09{col 56}{space 3}0.928{col 64}{space 4}-1.594861{col 77}{space 3} 1.744626
{txt}{space 13}_Iprov_22 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_23 {c |}{col 24}{res}{space 2}-12.48708{col 36}{space 2} 2.295927{col 47}{space 1}   -5.44{col 56}{space 3}0.000{col 64}{space 4}-17.12045{col 77}{space 3} -7.85371
{txt}{space 13}_Iprov_31 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_32 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_33 {c |}{col 24}{res}{space 2} -12.0944{col 36}{space 2} 1.936789{col 47}{space 1}   -6.24{col 56}{space 3}0.000{col 64}{space 4}-16.00299{col 77}{space 3}-8.185799
{txt}{space 13}_Iprov_34 {c |}{col 24}{res}{space 2}-10.27861{col 36}{space 2} 1.436579{col 47}{space 1}   -7.15{col 56}{space 3}0.000{col 64}{space 4}-13.17775{col 77}{space 3}-7.379479
{txt}{space 13}_Iprov_35 {c |}{col 24}{res}{space 2}-1.551611{col 36}{space 2} 1.184832{col 47}{space 1}   -1.31{col 56}{space 3}0.197{col 64}{space 4}-3.942698{col 77}{space 3} .8394759
{txt}{space 13}_Iprov_36 {c |}{col 24}{res}{space 2}  1.93474{col 36}{space 2} 1.208039{col 47}{space 1}    1.60{col 56}{space 3}0.117{col 64}{space 4}-.5031811{col 77}{space 3} 4.372662
{txt}{space 13}_Iprov_37 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_41 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_42 {c |}{col 24}{res}{space 2}-6.207823{col 36}{space 2}  1.08288{col 47}{space 1}   -5.73{col 56}{space 3}0.000{col 64}{space 4}-8.393164{col 77}{space 3}-4.022483
{txt}{space 13}_Iprov_43 {c |}{col 24}{res}{space 2}-1.451623{col 36}{space 2}  .443987{col 47}{space 1}   -3.27{col 56}{space 3}0.002{col 64}{space 4}-2.347625{col 77}{space 3} -.555621
{txt}{space 13}_Iprov_44 {c |}{col 24}{res}{space 2}-4.685887{col 36}{space 2} 1.414165{col 47}{space 1}   -3.31{col 56}{space 3}0.002{col 64}{space 4}-7.539787{col 77}{space 3}-1.831987
{txt}{space 13}_Iprov_45 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_50 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_51 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_52 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_53 {c |}{col 24}{res}{space 2}  4.28925{col 36}{space 2} .9104454{col 47}{space 1}    4.71{col 56}{space 3}0.000{col 64}{space 4} 2.451896{col 77}{space 3} 6.126603
{txt}{space 13}_Iprov_61 {c |}{col 24}{res}{space 2}-2.101938{col 36}{space 2} .3956553{col 47}{space 1}   -5.31{col 56}{space 3}0.000{col 64}{space 4}-2.900403{col 77}{space 3}-1.303473
{txt}{space 13}_Iprov_62 {c |}{col 24}{res}{space 2} 5.819132{col 36}{space 2} 1.534001{col 47}{space 1}    3.79{col 56}{space 3}0.000{col 64}{space 4} 2.723392{col 77}{space 3} 8.914872
{txt}{space 13}_Iprov_64 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_65 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 17}_cons {c |}{col 24}{res}{space 2}-95.36224{col 36}{space 2} 19.30271{col 47}{space 1}   -4.94{col 56}{space 3}0.000{col 64}{space 4}-134.3167{col 77}{space 3}-56.40779
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. estimates store table3_1_6
{txt}
{com}. estadd ysumm

{txt}added scalars:
                e(ysd) =  {res}2.7888555
               {txt}e(ymax) =  {res}10
               {txt}e(ymin) =  {res}0
              {txt}e(ymean) =  {res}3.0386657
{txt}
{com}. 
. xi:reg everprotested CRdeath_pop_prefecture `minimum_controls' if local==1,cl(city_id)
{txt}i.prov{col 19}_Iprov_13-65{col 39}(naturally coded; _Iprov_13 omitted)

Linear regression                               Number of obs     = {res}     2,081
                                                {txt}{help j_robustsingular:F(21, 56) }        =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.0213
                                                {txt}Root MSE          =    {res} .11473

{txt}{ralign 88:(Std. Err. adjusted for {res:57} clusters in city_id)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}         everprotested{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
CRdeath_pop_prefecture {c |}{col 24}{res}{space 2}-.0030215{col 36}{space 2} .0028963{col 47}{space 1}   -1.04{col 56}{space 3}0.301{col 64}{space 4}-.0088236{col 77}{space 3} .0027805
{txt}{space 5}log_accountlength {c |}{col 24}{res}{space 2}-.0021662{col 36}{space 2} .0102904{col 47}{space 1}   -0.21{col 56}{space 3}0.834{col 64}{space 4}-.0227803{col 77}{space 3}  .018448
{txt}{space 13}_Iprov_15 {c |}{col 24}{res}{space 2} .0059967{col 36}{space 2} .0081452{col 47}{space 1}    0.74{col 56}{space 3}0.465{col 64}{space 4}-.0103202{col 77}{space 3} .0223135
{txt}{space 13}_Iprov_21 {c |}{col 24}{res}{space 2}-.0130959{col 36}{space 2} .0046611{col 47}{space 1}   -2.81{col 56}{space 3}0.007{col 64}{space 4}-.0224331{col 77}{space 3}-.0037587
{txt}{space 13}_Iprov_22 {c |}{col 24}{res}{space 2}-.0134326{col 36}{space 2} .0047671{col 47}{space 1}   -2.82{col 56}{space 3}0.007{col 64}{space 4}-.0229823{col 77}{space 3}-.0038829
{txt}{space 13}_Iprov_23 {c |}{col 24}{res}{space 2} .0188856{col 36}{space 2} .0123504{col 47}{space 1}    1.53{col 56}{space 3}0.132{col 64}{space 4}-.0058552{col 77}{space 3} .0436263
{txt}{space 13}_Iprov_31 {c |}{col 24}{res}{space 2}-.0102903{col 36}{space 2} .0050755{col 47}{space 1}   -2.03{col 56}{space 3}0.047{col 64}{space 4}-.0204577{col 77}{space 3}-.0001228
{txt}{space 13}_Iprov_32 {c |}{col 24}{res}{space 2}  .039959{col 36}{space 2} .0349508{col 47}{space 1}    1.14{col 56}{space 3}0.258{col 64}{space 4}-.0300558{col 77}{space 3} .1099739
{txt}{space 13}_Iprov_33 {c |}{col 24}{res}{space 2}-.0148315{col 36}{space 2} .0076502{col 47}{space 1}   -1.94{col 56}{space 3}0.058{col 64}{space 4}-.0301566{col 77}{space 3} .0004937
{txt}{space 13}_Iprov_34 {c |}{col 24}{res}{space 2}  .008138{col 36}{space 2} .0121882{col 47}{space 1}    0.67{col 56}{space 3}0.507{col 64}{space 4} -.016278{col 77}{space 3}  .032554
{txt}{space 13}_Iprov_35 {c |}{col 24}{res}{space 2} -.014049{col 36}{space 2} .0054639{col 47}{space 1}   -2.57{col 56}{space 3}0.013{col 64}{space 4}-.0249946{col 77}{space 3}-.0031035
{txt}{space 13}_Iprov_36 {c |}{col 24}{res}{space 2}-.0144333{col 36}{space 2} .0073842{col 47}{space 1}   -1.95{col 56}{space 3}0.056{col 64}{space 4}-.0292257{col 77}{space 3} .0003591
{txt}{space 13}_Iprov_37 {c |}{col 24}{res}{space 2} .0146486{col 36}{space 2} .0249612{col 47}{space 1}    0.59{col 56}{space 3}0.560{col 64}{space 4}-.0353546{col 77}{space 3} .0646519
{txt}{space 13}_Iprov_41 {c |}{col 24}{res}{space 2}-.0135961{col 36}{space 2} .0048707{col 47}{space 1}   -2.79{col 56}{space 3}0.007{col 64}{space 4}-.0233532{col 77}{space 3}-.0038389
{txt}{space 13}_Iprov_42 {c |}{col 24}{res}{space 2}-.0085124{col 36}{space 2} .0091002{col 47}{space 1}   -0.94{col 56}{space 3}0.354{col 64}{space 4}-.0267422{col 77}{space 3} .0097175
{txt}{space 13}_Iprov_43 {c |}{col 24}{res}{space 2}-.0026093{col 36}{space 2} .0074397{col 47}{space 1}   -0.35{col 56}{space 3}0.727{col 64}{space 4}-.0175128{col 77}{space 3} .0122943
{txt}{space 13}_Iprov_44 {c |}{col 24}{res}{space 2} .0090214{col 36}{space 2} .0169765{col 47}{space 1}    0.53{col 56}{space 3}0.597{col 64}{space 4}-.0249867{col 77}{space 3} .0430295
{txt}{space 13}_Iprov_45 {c |}{col 24}{res}{space 2}-.0014043{col 36}{space 2} .0089078{col 47}{space 1}   -0.16{col 56}{space 3}0.875{col 64}{space 4}-.0192488{col 77}{space 3} .0164402
{txt}{space 13}_Iprov_50 {c |}{col 24}{res}{space 2}-.0133159{col 36}{space 2} .0046814{col 47}{space 1}   -2.84{col 56}{space 3}0.006{col 64}{space 4}-.0226938{col 77}{space 3} -.003938
{txt}{space 13}_Iprov_51 {c |}{col 24}{res}{space 2} .0075251{col 36}{space 2} .0095495{col 47}{space 1}    0.79{col 56}{space 3}0.434{col 64}{space 4}-.0116049{col 77}{space 3} .0266551
{txt}{space 13}_Iprov_52 {c |}{col 24}{res}{space 2} .0874492{col 36}{space 2}  .005045{col 47}{space 1}   17.33{col 56}{space 3}0.000{col 64}{space 4} .0773429{col 77}{space 3} .0975554
{txt}{space 13}_Iprov_53 {c |}{col 24}{res}{space 2}-.0057875{col 36}{space 2}  .004997{col 47}{space 1}   -1.16{col 56}{space 3}0.252{col 64}{space 4}-.0157977{col 77}{space 3} .0042226
{txt}{space 13}_Iprov_61 {c |}{col 24}{res}{space 2}-.0097365{col 36}{space 2} .0100948{col 47}{space 1}   -0.96{col 56}{space 3}0.339{col 64}{space 4}-.0299588{col 77}{space 3} .0104859
{txt}{space 13}_Iprov_62 {c |}{col 24}{res}{space 2}-.0130218{col 36}{space 2} .0046658{col 47}{space 1}   -2.79{col 56}{space 3}0.007{col 64}{space 4}-.0223685{col 77}{space 3}-.0036751
{txt}{space 13}_Iprov_64 {c |}{col 24}{res}{space 2}-.0140897{col 36}{space 2} .0053422{col 47}{space 1}   -2.64{col 56}{space 3}0.011{col 64}{space 4}-.0247915{col 77}{space 3}-.0033879
{txt}{space 13}_Iprov_65 {c |}{col 24}{res}{space 2} .0329128{col 36}{space 2} .0168328{col 47}{space 1}    1.96{col 56}{space 3}0.056{col 64}{space 4}-.0008073{col 77}{space 3} .0666329
{txt}{space 17}_cons {c |}{col 24}{res}{space 2} .0319148{col 36}{space 2}  .086805{col 47}{space 1}    0.37{col 56}{space 3}0.715{col 64}{space 4}-.1419764{col 77}{space 3} .2058061
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. estimates store table3_1_7
{txt}
{com}. estadd ysumm

{txt}added scalars:
                e(ysd) =  {res}.11524067
               {txt}e(ymax) =  {res}1
               {txt}e(ymin) =  {res}0
              {txt}e(ymean) =  {res}.01345507
{txt}
{com}. 
. xi:reg everprotested CRdeath_pop_prefecture `individual_controls' `prefectural_controls' `minimum_controls' if local==1,cl(city_id)
{txt}i.prov{col 19}_Iprov_13-65{col 39}(naturally coded; _Iprov_13 omitted)
note: _Iprov_22 omitted because of collinearity
note: _Iprov_23 omitted because of collinearity
note: _Iprov_31 omitted because of collinearity
note: _Iprov_32 omitted because of collinearity
note: _Iprov_37 omitted because of collinearity
note: _Iprov_41 omitted because of collinearity
note: _Iprov_45 omitted because of collinearity
note: _Iprov_50 omitted because of collinearity
note: _Iprov_52 omitted because of collinearity
note: _Iprov_64 omitted because of collinearity
note: _Iprov_65 omitted because of collinearity

Linear regression                               Number of obs     = {res}     1,461
                                                {txt}{help j_robustsingular:F(35, 42) }        =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.0224
                                                {txt}Root MSE          =    {res} .09756

{txt}{ralign 88:(Std. Err. adjusted for {res:43} clusters in city_id)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}         everprotested{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
CRdeath_pop_prefecture {c |}{col 24}{res}{space 2}-.0130632{col 36}{space 2}  .002055{col 47}{space 1}   -6.36{col 56}{space 3}0.000{col 64}{space 4}-.0172104{col 77}{space 3}-.0089159
{txt}{space 18}male {c |}{col 24}{res}{space 2} .0131467{col 36}{space 2} .0043584{col 47}{space 1}    3.02{col 56}{space 3}0.004{col 64}{space 4} .0043512{col 77}{space 3} .0219422
{txt}{space 19}age {c |}{col 24}{res}{space 2}  -.00112{col 36}{space 2} .0009411{col 47}{space 1}   -1.19{col 56}{space 3}0.241{col 64}{space 4}-.0030192{col 77}{space 3} .0007793
{txt}{space 13}agesquare {c |}{col 24}{res}{space 2} .0000116{col 36}{space 2} 9.28e-06{col 47}{space 1}    1.26{col 56}{space 3}0.216{col 64}{space 4}-7.08e-06{col 77}{space 3} .0000304
{txt}{space 19}han {c |}{col 24}{res}{space 2} .0094371{col 36}{space 2} .0047673{col 47}{space 1}    1.98{col 56}{space 3}0.054{col 64}{space 4}-.0001836{col 77}{space 3} .0190578
{txt}{space 13}goodclass {c |}{col 24}{res}{space 2}-.0055243{col 36}{space 2} .0198615{col 47}{space 1}   -0.28{col 56}{space 3}0.782{col 64}{space 4}-.0456064{col 77}{space 3} .0345579
{txt}{space 14}midclass {c |}{col 24}{res}{space 2}-.0060296{col 36}{space 2} .0204162{col 47}{space 1}   -0.30{col 56}{space 3}0.769{col 64}{space 4}-.0472312{col 77}{space 3}  .035172
{txt}{space 5}sexratio_1964_pre {c |}{col 24}{res}{space 2}-.1106554{col 36}{space 2} .0316161{col 47}{space 1}   -3.50{col 56}{space 3}0.001{col 64}{space 4}-.1744594{col 77}{space 3}-.0468514
{txt}urbanpopratio_1964_pre {c |}{col 24}{res}{space 2} .0016256{col 36}{space 2} .0005404{col 47}{space 1}    3.01{col 56}{space 3}0.004{col 64}{space 4}  .000535{col 77}{space 3} .0027163
{txt}{space 4}qingrebellioncount {c |}{col 24}{res}{space 2}-.0005981{col 36}{space 2} .0006821{col 47}{space 1}   -0.88{col 56}{space 3}0.386{col 64}{space 4}-.0019747{col 77}{space 3} .0007785
{txt}{space 8}popdensity1964 {c |}{col 24}{res}{space 2}-7.21e-06{col 36}{space 2} .0000238{col 47}{space 1}   -0.30{col 56}{space 3}0.763{col 64}{space 4}-.0000552{col 77}{space 3} .0000408
{txt}{space 14}lnpergdp {c |}{col 24}{res}{space 2}-.0766772{col 36}{space 2} .0177065{col 47}{space 1}   -4.33{col 56}{space 3}0.000{col 64}{space 4}-.1124103{col 77}{space 3}-.0409442
{txt}{space 15}shouzai {c |}{col 24}{res}{space 2}-.0020855{col 36}{space 2} .0025074{col 47}{space 1}   -0.83{col 56}{space 3}0.410{col 64}{space 4}-.0071456{col 77}{space 3} .0029746
{txt}{space 16}extrap {c |}{col 24}{res}{space 2}-.0017353{col 36}{space 2} .0009338{col 47}{space 1}   -1.86{col 56}{space 3}0.070{col 64}{space 4}-.0036197{col 77}{space 3} .0001491
{txt}{space 19}pmd {c |}{col 24}{res}{space 2}-.0005915{col 36}{space 2} .0002043{col 47}{space 1}   -2.89{col 56}{space 3}0.006{col 64}{space 4}-.0010039{col 77}{space 3}-.0001791
{txt}{space 13}longitude {c |}{col 24}{res}{space 2}-.0073609{col 36}{space 2} .0015371{col 47}{space 1}   -4.79{col 56}{space 3}0.000{col 64}{space 4}-.0104628{col 77}{space 3} -.004259
{txt}{space 14}latitude {c |}{col 24}{res}{space 2}  .011626{col 36}{space 2} .0023922{col 47}{space 1}    4.86{col 56}{space 3}0.000{col 64}{space 4} .0067984{col 77}{space 3} .0164537
{txt}{space 14}resource {c |}{col 24}{res}{space 2} .0059351{col 36}{space 2} .0032472{col 47}{space 1}    1.83{col 56}{space 3}0.075{col 64}{space 4} -.000618{col 77}{space 3} .0124882
{txt}{space 16}colony {c |}{col 24}{res}{space 2}-.0009688{col 36}{space 2} .0054539{col 47}{space 1}   -0.18{col 56}{space 3}0.860{col 64}{space 4}-.0119752{col 77}{space 3} .0100375
{txt}{space 16}suit_m {c |}{col 24}{res}{space 2} .0030033{col 36}{space 2} .0051077{col 47}{space 1}    0.59{col 56}{space 3}0.560{col 64}{space 4}-.0073044{col 77}{space 3} .0133109
{txt}{space 5}distancetobeijing {c |}{col 24}{res}{space 2}  .000053{col 36}{space 2} .0000221{col 47}{space 1}    2.40{col 56}{space 3}0.021{col 64}{space 4} 8.44e-06{col 77}{space 3} .0000976
{txt}{space 11}riverlength {c |}{col 24}{res}{space 2}-.0000669{col 36}{space 2}  .000029{col 47}{space 1}   -2.30{col 56}{space 3}0.026{col 64}{space 4}-.0001255{col 77}{space 3}-8.33e-06
{txt}{space 5}log_accountlength {c |}{col 24}{res}{space 2}-.0121807{col 36}{space 2} .0044869{col 47}{space 1}   -2.71{col 56}{space 3}0.010{col 64}{space 4}-.0212355{col 77}{space 3}-.0031258
{txt}{space 13}_Iprov_15 {c |}{col 24}{res}{space 2} .0130128{col 36}{space 2} .0070167{col 47}{space 1}    1.85{col 56}{space 3}0.071{col 64}{space 4}-.0011474{col 77}{space 3} .0271731
{txt}{space 13}_Iprov_21 {c |}{col 24}{res}{space 2} .0435641{col 36}{space 2} .0142071{col 47}{space 1}    3.07{col 56}{space 3}0.004{col 64}{space 4}  .014893{col 77}{space 3} .0722352
{txt}{space 13}_Iprov_22 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_23 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_31 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_32 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_33 {c |}{col 24}{res}{space 2} .0846732{col 36}{space 2} .0209138{col 47}{space 1}    4.05{col 56}{space 3}0.000{col 64}{space 4} .0424675{col 77}{space 3} .1268789
{txt}{space 13}_Iprov_34 {c |}{col 24}{res}{space 2} .0585067{col 36}{space 2} .0114827{col 47}{space 1}    5.10{col 56}{space 3}0.000{col 64}{space 4} .0353336{col 77}{space 3} .0816798
{txt}{space 13}_Iprov_35 {c |}{col 24}{res}{space 2} .0414216{col 36}{space 2} .0216752{col 47}{space 1}    1.91{col 56}{space 3}0.063{col 64}{space 4}-.0023208{col 77}{space 3}  .085164
{txt}{space 13}_Iprov_36 {c |}{col 24}{res}{space 2} .0421068{col 36}{space 2} .0175837{col 47}{space 1}    2.39{col 56}{space 3}0.021{col 64}{space 4} .0066216{col 77}{space 3} .0775921
{txt}{space 13}_Iprov_37 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_41 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_42 {c |}{col 24}{res}{space 2} .0027569{col 36}{space 2} .0080486{col 47}{space 1}    0.34{col 56}{space 3}0.734{col 64}{space 4}-.0134859{col 77}{space 3} .0189996
{txt}{space 13}_Iprov_43 {c |}{col 24}{res}{space 2} .0074548{col 36}{space 2} .0110043{col 47}{space 1}    0.68{col 56}{space 3}0.502{col 64}{space 4}-.0147528{col 77}{space 3} .0296625
{txt}{space 13}_Iprov_44 {c |}{col 24}{res}{space 2} .0664417{col 36}{space 2} .0212494{col 47}{space 1}    3.13{col 56}{space 3}0.003{col 64}{space 4} .0235587{col 77}{space 3} .1093247
{txt}{space 13}_Iprov_45 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_50 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_51 {c |}{col 24}{res}{space 2}-.0754539{col 36}{space 2} .0227072{col 47}{space 1}   -3.32{col 56}{space 3}0.002{col 64}{space 4}-.1212788{col 77}{space 3}-.0296289
{txt}{space 13}_Iprov_52 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_53 {c |}{col 24}{res}{space 2}-.0531831{col 36}{space 2} .0176941{col 47}{space 1}   -3.01{col 56}{space 3}0.004{col 64}{space 4}-.0888913{col 77}{space 3}-.0174749
{txt}{space 13}_Iprov_61 {c |}{col 24}{res}{space 2}-.0342527{col 36}{space 2} .0118717{col 47}{space 1}   -2.89{col 56}{space 3}0.006{col 64}{space 4}-.0582108{col 77}{space 3}-.0102946
{txt}{space 13}_Iprov_62 {c |}{col 24}{res}{space 2}-.0864477{col 36}{space 2} .0255699{col 47}{space 1}   -3.38{col 56}{space 3}0.002{col 64}{space 4}-.1380499{col 77}{space 3}-.0348455
{txt}{space 13}_Iprov_64 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_65 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 17}_cons {c |}{col 24}{res}{space 2} 1.127706{col 36}{space 2} .2639263{col 47}{space 1}    4.27{col 56}{space 3}0.000{col 64}{space 4} .5950806{col 77}{space 3}  1.66033
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. estimates store table3_1_8
{txt}
{com}. estadd ysumm

{txt}added scalars:
                e(ysd) =  {res}.09745334
               {txt}e(ymax) =  {res}1
               {txt}e(ymin) =  {res}0
              {txt}e(ymean) =  {res}.00958248
{txt}
{com}. 
. esttab table3_1_1 table3_1_2 table3_1_3 table3_1_4 table3_1_5 table3_1_6 table3_1_7 table3_1_8 using table3_1.csv, ///
> collabels(none)  cells(b(star fmt(3)) se(par)) staraux star(* 0.10 ** 0.05 *** 0.01)  replace ///
> stats(N r2, fmt(0 3)  labels(`"N"' `"R2"')) drop(_Iprov*) ///
> title(Table 3.1: OLS Estimates of the Effects of Cultural Revolution Violence on Political Attitudes and Behavior) 
{res}{txt}(note: file table3_1.csv not found)
(output written to {browse  `"table3_1.csv"'})

{com}. 
{txt}end of do-file

{com}. do "/var/folders/h7/yy_9_pys1zvgh1bl431b90_m0000gn/T//SD21778.000000"
{txt}
{com}. 
. ****************
. *Table 4.1*
. ****************
. 
. local individual_controls "male age agesquare han goodclass midclass"
{txt}
{com}. local prefectural_controls "sexratio_1964_pre urbanpopratio_1964_pre qingrebellion popdensity1964 lnpergdp shouzai extrap pmd longitude latitude resource colony suit_m distancetobeijing riverlength"
{txt}
{com}. local minimum_controls "log_accountlength i.prov"
{txt}
{com}. 
. *Non-sent-down*
. 
. xi:reg trustcentralhead CRdeath_pop_prefecture `individual_controls' `prefectural_controls' `minimum_controls' if birthyear<1977 & sentdowngeneration==0 & local==1,cl(city_id)
{txt}i.prov{col 19}_Iprov_13-65{col 39}(naturally coded; _Iprov_13 omitted)
note: _Iprov_22 omitted because of collinearity
note: _Iprov_23 omitted because of collinearity
note: _Iprov_31 omitted because of collinearity
note: _Iprov_32 omitted because of collinearity
note: _Iprov_37 omitted because of collinearity
note: _Iprov_41 omitted because of collinearity
note: _Iprov_45 omitted because of collinearity
note: _Iprov_50 omitted because of collinearity
note: _Iprov_52 omitted because of collinearity
note: _Iprov_64 omitted because of collinearity
note: _Iprov_65 omitted because of collinearity

Linear regression                               Number of obs     = {res}       950
                                                {txt}{help j_robustsingular:F(35, 41) }        =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.1348
                                                {txt}Root MSE          =    {res} .75585

{txt}{ralign 88:(Std. Err. adjusted for {res:42} clusters in city_id)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}      trustcentralhead{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
CRdeath_pop_prefecture {c |}{col 24}{res}{space 2}-.3881174{col 36}{space 2} .0382389{col 47}{space 1}  -10.15{col 56}{space 3}0.000{col 64}{space 4}-.4653425{col 77}{space 3}-.3108923
{txt}{space 18}male {c |}{col 24}{res}{space 2}-.0093429{col 36}{space 2}  .054758{col 47}{space 1}   -0.17{col 56}{space 3}0.865{col 64}{space 4}-.1199289{col 77}{space 3} .1012431
{txt}{space 19}age {c |}{col 24}{res}{space 2} .0240643{col 36}{space 2} .0173173{col 47}{space 1}    1.39{col 56}{space 3}0.172{col 64}{space 4}-.0109087{col 77}{space 3} .0590373
{txt}{space 13}agesquare {c |}{col 24}{res}{space 2}-.0001536{col 36}{space 2} .0001517{col 47}{space 1}   -1.01{col 56}{space 3}0.317{col 64}{space 4}  -.00046{col 77}{space 3} .0001528
{txt}{space 19}han {c |}{col 24}{res}{space 2}-.0404146{col 36}{space 2} .0940717{col 47}{space 1}   -0.43{col 56}{space 3}0.670{col 64}{space 4}-.2303962{col 77}{space 3} .1495671
{txt}{space 13}goodclass {c |}{col 24}{res}{space 2} .1172288{col 36}{space 2} .1248965{col 47}{space 1}    0.94{col 56}{space 3}0.353{col 64}{space 4}-.1350049{col 77}{space 3} .3694624
{txt}{space 14}midclass {c |}{col 24}{res}{space 2} .1205443{col 36}{space 2} .1291253{col 47}{space 1}    0.93{col 56}{space 3}0.356{col 64}{space 4}-.1402295{col 77}{space 3} .3813182
{txt}{space 5}sexratio_1964_pre {c |}{col 24}{res}{space 2}-4.761469{col 36}{space 2} .5709908{col 47}{space 1}   -8.34{col 56}{space 3}0.000{col 64}{space 4}-5.914608{col 77}{space 3} -3.60833
{txt}urbanpopratio_1964_pre {c |}{col 24}{res}{space 2} .0719401{col 36}{space 2} .0098903{col 47}{space 1}    7.27{col 56}{space 3}0.000{col 64}{space 4} .0519663{col 77}{space 3} .0919139
{txt}{space 4}qingrebellioncount {c |}{col 24}{res}{space 2} .0656947{col 36}{space 2} .0135053{col 47}{space 1}    4.86{col 56}{space 3}0.000{col 64}{space 4} .0384201{col 77}{space 3} .0929693
{txt}{space 8}popdensity1964 {c |}{col 24}{res}{space 2} .0009541{col 36}{space 2}  .000366{col 47}{space 1}    2.61{col 56}{space 3}0.013{col 64}{space 4} .0002149{col 77}{space 3} .0016933
{txt}{space 14}lnpergdp {c |}{col 24}{res}{space 2}-1.191585{col 36}{space 2} .3593231{col 47}{space 1}   -3.32{col 56}{space 3}0.002{col 64}{space 4}-1.917253{col 77}{space 3}-.4659174
{txt}{space 15}shouzai {c |}{col 24}{res}{space 2}-.3475869{col 36}{space 2} .0517977{col 47}{space 1}   -6.71{col 56}{space 3}0.000{col 64}{space 4}-.4521945{col 77}{space 3}-.2429794
{txt}{space 16}extrap {c |}{col 24}{res}{space 2} .0658805{col 36}{space 2} .0215062{col 47}{space 1}    3.06{col 56}{space 3}0.004{col 64}{space 4} .0224478{col 77}{space 3} .1093131
{txt}{space 19}pmd {c |}{col 24}{res}{space 2} .0284063{col 36}{space 2} .0034197{col 47}{space 1}    8.31{col 56}{space 3}0.000{col 64}{space 4} .0215001{col 77}{space 3} .0353124
{txt}{space 13}longitude {c |}{col 24}{res}{space 2}-.1359251{col 36}{space 2} .0220657{col 47}{space 1}   -6.16{col 56}{space 3}0.000{col 64}{space 4}-.1804878{col 77}{space 3}-.0913624
{txt}{space 14}latitude {c |}{col 24}{res}{space 2}-.0515806{col 36}{space 2} .0420513{col 47}{space 1}   -1.23{col 56}{space 3}0.227{col 64}{space 4}-.1365048{col 77}{space 3} .0333437
{txt}{space 14}resource {c |}{col 24}{res}{space 2} .1939896{col 36}{space 2} .0799661{col 47}{space 1}    2.43{col 56}{space 3}0.020{col 64}{space 4} .0324948{col 77}{space 3} .3554845
{txt}{space 16}colony {c |}{col 24}{res}{space 2}-.8395668{col 36}{space 2} .1361703{col 47}{space 1}   -6.17{col 56}{space 3}0.000{col 64}{space 4}-1.114568{col 77}{space 3}-.5645654
{txt}{space 16}suit_m {c |}{col 24}{res}{space 2} .2279037{col 36}{space 2} .1002452{col 47}{space 1}    2.27{col 56}{space 3}0.028{col 64}{space 4} .0254545{col 77}{space 3}  .430353
{txt}{space 5}distancetobeijing {c |}{col 24}{res}{space 2}-.0023802{col 36}{space 2}  .000449{col 47}{space 1}   -5.30{col 56}{space 3}0.000{col 64}{space 4}-.0032869{col 77}{space 3}-.0014735
{txt}{space 11}riverlength {c |}{col 24}{res}{space 2} .0033916{col 36}{space 2} .0005958{col 47}{space 1}    5.69{col 56}{space 3}0.000{col 64}{space 4} .0021884{col 77}{space 3} .0045948
{txt}{space 5}log_accountlength {c |}{col 24}{res}{space 2} .0605943{col 36}{space 2} .0556974{col 47}{space 1}    1.09{col 56}{space 3}0.283{col 64}{space 4}-.0518888{col 77}{space 3} .1730774
{txt}{space 13}_Iprov_15 {c |}{col 24}{res}{space 2} 1.103533{col 36}{space 2} .1405937{col 47}{space 1}    7.85{col 56}{space 3}0.000{col 64}{space 4} .8195988{col 77}{space 3} 1.387468
{txt}{space 13}_Iprov_21 {c |}{col 24}{res}{space 2}-1.293156{col 36}{space 2} .2936601{col 47}{space 1}   -4.40{col 56}{space 3}0.000{col 64}{space 4}-1.886215{col 77}{space 3}-.7000976
{txt}{space 13}_Iprov_22 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_23 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_31 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_32 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_33 {c |}{col 24}{res}{space 2} 1.290865{col 36}{space 2}  .402452{col 47}{space 1}    3.21{col 56}{space 3}0.003{col 64}{space 4} .4780963{col 77}{space 3} 2.103633
{txt}{space 13}_Iprov_34 {c |}{col 24}{res}{space 2}  .801375{col 36}{space 2} .2392265{col 47}{space 1}    3.35{col 56}{space 3}0.002{col 64}{space 4} .3182473{col 77}{space 3} 1.284503
{txt}{space 13}_Iprov_35 {c |}{col 24}{res}{space 2}-2.170937{col 36}{space 2} .4262799{col 47}{space 1}   -5.09{col 56}{space 3}0.000{col 64}{space 4}-3.031826{col 77}{space 3}-1.310047
{txt}{space 13}_Iprov_36 {c |}{col 24}{res}{space 2} -2.00421{col 36}{space 2} .4152892{col 47}{space 1}   -4.83{col 56}{space 3}0.000{col 64}{space 4}-2.842904{col 77}{space 3}-1.165517
{txt}{space 13}_Iprov_37 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_41 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_42 {c |}{col 24}{res}{space 2} -.187635{col 36}{space 2} .1965359{col 47}{space 1}   -0.95{col 56}{space 3}0.345{col 64}{space 4}-.5845474{col 77}{space 3} .2092773
{txt}{space 13}_Iprov_43 {c |}{col 24}{res}{space 2}-1.476865{col 36}{space 2} .2878513{col 47}{space 1}   -5.13{col 56}{space 3}0.000{col 64}{space 4}-2.058193{col 77}{space 3}-.8955377
{txt}{space 13}_Iprov_44 {c |}{col 24}{res}{space 2} 1.066445{col 36}{space 2} .4533311{col 47}{space 1}    2.35{col 56}{space 3}0.024{col 64}{space 4} .1509244{col 77}{space 3} 1.981966
{txt}{space 13}_Iprov_45 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_50 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_51 {c |}{col 24}{res}{space 2}-3.121104{col 36}{space 2} .4351556{col 47}{space 1}   -7.17{col 56}{space 3}0.000{col 64}{space 4}-3.999919{col 77}{space 3} -2.24229
{txt}{space 13}_Iprov_52 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_53 {c |}{col 24}{res}{space 2}-2.693312{col 36}{space 2} .3437458{col 47}{space 1}   -7.84{col 56}{space 3}0.000{col 64}{space 4}-3.387521{col 77}{space 3}-1.999103
{txt}{space 13}_Iprov_61 {c |}{col 24}{res}{space 2}-1.809799{col 36}{space 2} .2331153{col 47}{space 1}   -7.76{col 56}{space 3}0.000{col 64}{space 4}-2.280585{col 77}{space 3}-1.339013
{txt}{space 13}_Iprov_62 {c |}{col 24}{res}{space 2}-3.665801{col 36}{space 2} .4944018{col 47}{space 1}   -7.41{col 56}{space 3}0.000{col 64}{space 4}-4.664266{col 77}{space 3}-2.667336
{txt}{space 13}_Iprov_64 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_65 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 17}_cons {c |}{col 24}{res}{space 2} 35.55084{col 36}{space 2} 4.681714{col 47}{space 1}    7.59{col 56}{space 3}0.000{col 64}{space 4} 26.09593{col 77}{space 3} 45.00575
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. estimates store table4_1_1
{txt}
{com}. 
. xi:reg lackingdemocracy CRdeath_pop_prefecture `individual_controls' `prefectural_controls' `minimum_controls' if birthyear<1977 & sentdowngeneration==0 & local==1,cl(city_id)
{txt}i.prov{col 19}_Iprov_13-65{col 39}(naturally coded; _Iprov_13 omitted)
note: _Iprov_22 omitted because of collinearity
note: _Iprov_23 omitted because of collinearity
note: _Iprov_31 omitted because of collinearity
note: _Iprov_32 omitted because of collinearity
note: _Iprov_37 omitted because of collinearity
note: _Iprov_41 omitted because of collinearity
note: _Iprov_45 omitted because of collinearity
note: _Iprov_50 omitted because of collinearity
note: _Iprov_52 omitted because of collinearity
note: _Iprov_64 omitted because of collinearity
note: _Iprov_65 omitted because of collinearity

Linear regression                               Number of obs     = {res}       867
                                                {txt}{help j_robustsingular:F(35, 41) }        =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.1421
                                                {txt}Root MSE          =    {res} 2.6521

{txt}{ralign 88:(Std. Err. adjusted for {res:42} clusters in city_id)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}      lackingdemocracy{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
CRdeath_pop_prefecture {c |}{col 24}{res}{space 2} 1.525015{col 36}{space 2} .1173989{col 47}{space 1}   12.99{col 56}{space 3}0.000{col 64}{space 4} 1.287924{col 77}{space 3} 1.762107
{txt}{space 18}male {c |}{col 24}{res}{space 2} .1265779{col 36}{space 2} .1990946{col 47}{space 1}    0.64{col 56}{space 3}0.528{col 64}{space 4}-.2755017{col 77}{space 3} .5286575
{txt}{space 19}age {c |}{col 24}{res}{space 2}-.0422206{col 36}{space 2} .0528071{col 47}{space 1}   -0.80{col 56}{space 3}0.429{col 64}{space 4}-.1488666{col 77}{space 3} .0644255
{txt}{space 13}agesquare {c |}{col 24}{res}{space 2} .0002551{col 36}{space 2} .0004727{col 47}{space 1}    0.54{col 56}{space 3}0.592{col 64}{space 4}-.0006996{col 77}{space 3} .0012097
{txt}{space 19}han {c |}{col 24}{res}{space 2}-.4746471{col 36}{space 2}  .364159{col 47}{space 1}   -1.30{col 56}{space 3}0.200{col 64}{space 4}-1.210081{col 77}{space 3} .2607869
{txt}{space 13}goodclass {c |}{col 24}{res}{space 2}-.1529397{col 36}{space 2} .5320718{col 47}{space 1}   -0.29{col 56}{space 3}0.775{col 64}{space 4} -1.22748{col 77}{space 3}  .921601
{txt}{space 14}midclass {c |}{col 24}{res}{space 2}-.1837673{col 36}{space 2} .4889701{col 47}{space 1}   -0.38{col 56}{space 3}0.709{col 64}{space 4}-1.171262{col 77}{space 3} .8037279
{txt}{space 5}sexratio_1964_pre {c |}{col 24}{res}{space 2}  19.5265{col 36}{space 2}  2.71544{col 47}{space 1}    7.19{col 56}{space 3}0.000{col 64}{space 4} 14.04255{col 77}{space 3} 25.01044
{txt}urbanpopratio_1964_pre {c |}{col 24}{res}{space 2}-.2414091{col 36}{space 2} .0367969{col 47}{space 1}   -6.56{col 56}{space 3}0.000{col 64}{space 4} -.315722{col 77}{space 3}-.1670962
{txt}{space 4}qingrebellioncount {c |}{col 24}{res}{space 2}-.0602954{col 36}{space 2} .0512329{col 47}{space 1}   -1.18{col 56}{space 3}0.246{col 64}{space 4}-.1637623{col 77}{space 3} .0431715
{txt}{space 8}popdensity1964 {c |}{col 24}{res}{space 2}-.0018944{col 36}{space 2} .0011571{col 47}{space 1}   -1.64{col 56}{space 3}0.109{col 64}{space 4}-.0042313{col 77}{space 3} .0004424
{txt}{space 14}lnpergdp {c |}{col 24}{res}{space 2} 5.482972{col 36}{space 2} 1.220383{col 47}{space 1}    4.49{col 56}{space 3}0.000{col 64}{space 4} 3.018358{col 77}{space 3} 7.947586
{txt}{space 15}shouzai {c |}{col 24}{res}{space 2} .9319532{col 36}{space 2} .1903777{col 47}{space 1}    4.90{col 56}{space 3}0.000{col 64}{space 4} .5474776{col 77}{space 3} 1.316429
{txt}{space 16}extrap {c |}{col 24}{res}{space 2}-.1460844{col 36}{space 2} .0527686{col 47}{space 1}   -2.77{col 56}{space 3}0.008{col 64}{space 4}-.2526528{col 77}{space 3} -.039516
{txt}{space 19}pmd {c |}{col 24}{res}{space 2}-.0451544{col 36}{space 2} .0126782{col 47}{space 1}   -3.56{col 56}{space 3}0.001{col 64}{space 4}-.0707585{col 77}{space 3}-.0195503
{txt}{space 13}longitude {c |}{col 24}{res}{space 2} .6717574{col 36}{space 2} .0903537{col 47}{space 1}    7.43{col 56}{space 3}0.000{col 64}{space 4} .4892844{col 77}{space 3} .8542305
{txt}{space 14}latitude {c |}{col 24}{res}{space 2}-.1369378{col 36}{space 2} .1568453{col 47}{space 1}   -0.87{col 56}{space 3}0.388{col 64}{space 4}-.4536933{col 77}{space 3} .1798177
{txt}{space 14}resource {c |}{col 24}{res}{space 2} -1.24002{col 36}{space 2}  .221805{col 47}{space 1}   -5.59{col 56}{space 3}0.000{col 64}{space 4}-1.687965{col 77}{space 3}-.7920762
{txt}{space 16}colony {c |}{col 24}{res}{space 2} .6448759{col 36}{space 2} .4582653{col 47}{space 1}    1.41{col 56}{space 3}0.167{col 64}{space 4}-.2806097{col 77}{space 3} 1.570362
{txt}{space 16}suit_m {c |}{col 24}{res}{space 2}-1.434531{col 36}{space 2} .3355161{col 47}{space 1}   -4.28{col 56}{space 3}0.000{col 64}{space 4}-2.112119{col 77}{space 3} -.756942
{txt}{space 5}distancetobeijing {c |}{col 24}{res}{space 2}  .005495{col 36}{space 2} .0016228{col 47}{space 1}    3.39{col 56}{space 3}0.002{col 64}{space 4} .0022177{col 77}{space 3} .0087723
{txt}{space 11}riverlength {c |}{col 24}{res}{space 2} -.012272{col 36}{space 2}  .002265{col 47}{space 1}   -5.42{col 56}{space 3}0.000{col 64}{space 4}-.0168464{col 77}{space 3}-.0076977
{txt}{space 5}log_accountlength {c |}{col 24}{res}{space 2} .7625453{col 36}{space 2} .4093818{col 47}{space 1}    1.86{col 56}{space 3}0.070{col 64}{space 4} -.064218{col 77}{space 3} 1.589309
{txt}{space 13}_Iprov_15 {c |}{col 24}{res}{space 2}-4.583204{col 36}{space 2} .3236339{col 47}{space 1}  -14.16{col 56}{space 3}0.000{col 64}{space 4}-5.236796{col 77}{space 3}-3.929612
{txt}{space 13}_Iprov_21 {c |}{col 24}{res}{space 2}-.3214684{col 36}{space 2} 1.269463{col 47}{space 1}   -0.25{col 56}{space 3}0.801{col 64}{space 4}-2.885201{col 77}{space 3} 2.242264
{txt}{space 13}_Iprov_22 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_23 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_31 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_32 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_33 {c |}{col 24}{res}{space 2}-5.593419{col 36}{space 2}  1.20182{col 47}{space 1}   -4.65{col 56}{space 3}0.000{col 64}{space 4}-8.020544{col 77}{space 3}-3.166294
{txt}{space 13}_Iprov_34 {c |}{col 24}{res}{space 2}-3.258057{col 36}{space 2}  .710761{col 47}{space 1}   -4.58{col 56}{space 3}0.000{col 64}{space 4}-4.693468{col 77}{space 3}-1.822646
{txt}{space 13}_Iprov_35 {c |}{col 24}{res}{space 2} 2.210449{col 36}{space 2} 1.916827{col 47}{space 1}    1.15{col 56}{space 3}0.256{col 64}{space 4}-1.660663{col 77}{space 3}  6.08156
{txt}{space 13}_Iprov_36 {c |}{col 24}{res}{space 2}  5.37166{col 36}{space 2} 1.298111{col 47}{space 1}    4.14{col 56}{space 3}0.000{col 64}{space 4} 2.750072{col 77}{space 3} 7.993247
{txt}{space 13}_Iprov_37 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_41 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_42 {c |}{col 24}{res}{space 2} 2.264149{col 36}{space 2} .5238965{col 47}{space 1}    4.32{col 56}{space 3}0.000{col 64}{space 4} 1.206118{col 77}{space 3} 3.322179
{txt}{space 13}_Iprov_43 {c |}{col 24}{res}{space 2} 5.090634{col 36}{space 2} .7675281{col 47}{space 1}    6.63{col 56}{space 3}0.000{col 64}{space 4} 3.540579{col 77}{space 3} 6.640688
{txt}{space 13}_Iprov_44 {c |}{col 24}{res}{space 2}-3.475059{col 36}{space 2} 1.725899{col 47}{space 1}   -2.01{col 56}{space 3}0.051{col 64}{space 4}-6.960582{col 77}{space 3} .0104645
{txt}{space 13}_Iprov_45 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_50 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_51 {c |}{col 24}{res}{space 2} 11.63118{col 36}{space 2} 1.536877{col 47}{space 1}    7.57{col 56}{space 3}0.000{col 64}{space 4} 8.527394{col 77}{space 3} 14.73497
{txt}{space 13}_Iprov_52 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_53 {c |}{col 24}{res}{space 2} 8.749357{col 36}{space 2} 1.525204{col 47}{space 1}    5.74{col 56}{space 3}0.000{col 64}{space 4} 5.669144{col 77}{space 3} 11.82957
{txt}{space 13}_Iprov_61 {c |}{col 24}{res}{space 2} 3.846438{col 36}{space 2}  .876492{col 47}{space 1}    4.39{col 56}{space 3}0.000{col 64}{space 4} 2.076326{col 77}{space 3} 5.616549
{txt}{space 13}_Iprov_62 {c |}{col 24}{res}{space 2} 9.889319{col 36}{space 2} 1.838489{col 47}{space 1}    5.38{col 56}{space 3}0.000{col 64}{space 4} 6.176414{col 77}{space 3} 13.60222
{txt}{space 13}_Iprov_64 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_65 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 17}_cons {c |}{col 24}{res}{space 2}-135.3747{col 36}{space 2} 18.98351{col 47}{space 1}   -7.13{col 56}{space 3}0.000{col 64}{space 4}-173.7127{col 77}{space 3}-97.03674
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. estimates store table4_1_3
{txt}
{com}. 
. xi:reg lackingfreeexpression CRdeath_pop_prefecture `individual_controls' `prefectural_controls' `minimum_controls' if birthyear<1977 & sentdowngeneration==0 & local==1,cl(city_id)
{txt}i.prov{col 19}_Iprov_13-65{col 39}(naturally coded; _Iprov_13 omitted)
note: _Iprov_22 omitted because of collinearity
note: _Iprov_23 omitted because of collinearity
note: _Iprov_31 omitted because of collinearity
note: _Iprov_32 omitted because of collinearity
note: _Iprov_37 omitted because of collinearity
note: _Iprov_41 omitted because of collinearity
note: _Iprov_45 omitted because of collinearity
note: _Iprov_50 omitted because of collinearity
note: _Iprov_52 omitted because of collinearity
note: _Iprov_64 omitted because of collinearity
note: _Iprov_65 omitted because of collinearity

Linear regression                               Number of obs     = {res}       941
                                                {txt}{help j_robustsingular:F(35, 41) }        =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.1356
                                                {txt}Root MSE          =    {res} 2.5701

{txt}{ralign 88:(Std. Err. adjusted for {res:42} clusters in city_id)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1} lackingfreeexpression{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
CRdeath_pop_prefecture {c |}{col 24}{res}{space 2} 1.473955{col 36}{space 2} .1212528{col 47}{space 1}   12.16{col 56}{space 3}0.000{col 64}{space 4}  1.22908{col 77}{space 3}  1.71883
{txt}{space 18}male {c |}{col 24}{res}{space 2}  .008922{col 36}{space 2} .1455618{col 47}{space 1}    0.06{col 56}{space 3}0.951{col 64}{space 4}-.2850461{col 77}{space 3} .3028901
{txt}{space 19}age {c |}{col 24}{res}{space 2}-.0342059{col 36}{space 2} .0566127{col 47}{space 1}   -0.60{col 56}{space 3}0.549{col 64}{space 4}-.1485377{col 77}{space 3} .0801258
{txt}{space 13}agesquare {c |}{col 24}{res}{space 2} .0002111{col 36}{space 2}  .000489{col 47}{space 1}    0.43{col 56}{space 3}0.668{col 64}{space 4}-.0007764{col 77}{space 3} .0011986
{txt}{space 19}han {c |}{col 24}{res}{space 2}-.5106106{col 36}{space 2} .3571351{col 47}{space 1}   -1.43{col 56}{space 3}0.160{col 64}{space 4} -1.23186{col 77}{space 3} .2106384
{txt}{space 13}goodclass {c |}{col 24}{res}{space 2}-.3920639{col 36}{space 2} .5443523{col 47}{space 1}   -0.72{col 56}{space 3}0.475{col 64}{space 4}-1.491406{col 77}{space 3} .7072779
{txt}{space 14}midclass {c |}{col 24}{res}{space 2} -.345294{col 36}{space 2} .4772306{col 47}{space 1}   -0.72{col 56}{space 3}0.473{col 64}{space 4}-1.309081{col 77}{space 3} .6184927
{txt}{space 5}sexratio_1964_pre {c |}{col 24}{res}{space 2} 29.26477{col 36}{space 2} 1.764286{col 47}{space 1}   16.59{col 56}{space 3}0.000{col 64}{space 4} 25.70172{col 77}{space 3} 32.82781
{txt}urbanpopratio_1964_pre {c |}{col 24}{res}{space 2}-.2110153{col 36}{space 2} .0295346{col 47}{space 1}   -7.14{col 56}{space 3}0.000{col 64}{space 4}-.2706616{col 77}{space 3}-.1513691
{txt}{space 4}qingrebellioncount {c |}{col 24}{res}{space 2}-.1634401{col 36}{space 2} .0401393{col 47}{space 1}   -4.07{col 56}{space 3}0.000{col 64}{space 4}-.2445031{col 77}{space 3}-.0823771
{txt}{space 8}popdensity1964 {c |}{col 24}{res}{space 2}-.0043714{col 36}{space 2} .0005707{col 47}{space 1}   -7.66{col 56}{space 3}0.000{col 64}{space 4} -.005524{col 77}{space 3}-.0032189
{txt}{space 14}lnpergdp {c |}{col 24}{res}{space 2} 5.780761{col 36}{space 2} .7397749{col 47}{space 1}    7.81{col 56}{space 3}0.000{col 64}{space 4} 4.286756{col 77}{space 3} 7.274767
{txt}{space 15}shouzai {c |}{col 24}{res}{space 2} 1.529481{col 36}{space 2} .1469627{col 47}{space 1}   10.41{col 56}{space 3}0.000{col 64}{space 4} 1.232684{col 77}{space 3} 1.826279
{txt}{space 16}extrap {c |}{col 24}{res}{space 2}-.3608537{col 36}{space 2} .0600303{col 47}{space 1}   -6.01{col 56}{space 3}0.000{col 64}{space 4}-.4820872{col 77}{space 3}-.2396201
{txt}{space 19}pmd {c |}{col 24}{res}{space 2}-.0945963{col 36}{space 2} .0096054{col 47}{space 1}   -9.85{col 56}{space 3}0.000{col 64}{space 4}-.1139947{col 77}{space 3}-.0751978
{txt}{space 13}longitude {c |}{col 24}{res}{space 2} .7802103{col 36}{space 2} .0686856{col 47}{space 1}   11.36{col 56}{space 3}0.000{col 64}{space 4} .6414969{col 77}{space 3} .9189237
{txt}{space 14}latitude {c |}{col 24}{res}{space 2}-.2117992{col 36}{space 2} .1088036{col 47}{space 1}   -1.95{col 56}{space 3}0.058{col 64}{space 4}-.4315324{col 77}{space 3} .0079341
{txt}{space 14}resource {c |}{col 24}{res}{space 2}-1.751037{col 36}{space 2} .2293429{col 47}{space 1}   -7.64{col 56}{space 3}0.000{col 64}{space 4}-2.214204{col 77}{space 3} -1.28787
{txt}{space 16}colony {c |}{col 24}{res}{space 2} 2.681416{col 36}{space 2} .2938333{col 47}{space 1}    9.13{col 56}{space 3}0.000{col 64}{space 4} 2.088008{col 77}{space 3} 3.274825
{txt}{space 16}suit_m {c |}{col 24}{res}{space 2}-1.270672{col 36}{space 2} .2284056{col 47}{space 1}   -5.56{col 56}{space 3}0.000{col 64}{space 4}-1.731946{col 77}{space 3}-.8093974
{txt}{space 5}distancetobeijing {c |}{col 24}{res}{space 2} .0074865{col 36}{space 2} .0012721{col 47}{space 1}    5.89{col 56}{space 3}0.000{col 64}{space 4} .0049174{col 77}{space 3} .0100555
{txt}{space 11}riverlength {c |}{col 24}{res}{space 2}-.0026534{col 36}{space 2} .0014278{col 47}{space 1}   -1.86{col 56}{space 3}0.070{col 64}{space 4}-.0055369{col 77}{space 3} .0002301
{txt}{space 5}log_accountlength {c |}{col 24}{res}{space 2}-.0334989{col 36}{space 2} .1742493{col 47}{space 1}   -0.19{col 56}{space 3}0.848{col 64}{space 4}-.3854025{col 77}{space 3} .3184047
{txt}{space 13}_Iprov_15 {c |}{col 24}{res}{space 2}-3.611368{col 36}{space 2} .2920871{col 47}{space 1}  -12.36{col 56}{space 3}0.000{col 64}{space 4} -4.20125{col 77}{space 3}-3.021486
{txt}{space 13}_Iprov_21 {c |}{col 24}{res}{space 2} 3.705225{col 36}{space 2} .8580721{col 47}{space 1}    4.32{col 56}{space 3}0.000{col 64}{space 4} 1.972313{col 77}{space 3} 5.438137
{txt}{space 13}_Iprov_22 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_23 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_31 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_32 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_33 {c |}{col 24}{res}{space 2}-8.714241{col 36}{space 2} .8599152{col 47}{space 1}  -10.13{col 56}{space 3}0.000{col 64}{space 4}-10.45087{col 77}{space 3}-6.977607
{txt}{space 13}_Iprov_34 {c |}{col 24}{res}{space 2}-6.080855{col 36}{space 2} .5165535{col 47}{space 1}  -11.77{col 56}{space 3}0.000{col 64}{space 4}-7.124056{col 77}{space 3}-5.037654
{txt}{space 13}_Iprov_35 {c |}{col 24}{res}{space 2} 6.254653{col 36}{space 2} 1.243975{col 47}{space 1}    5.03{col 56}{space 3}0.000{col 64}{space 4} 3.742395{col 77}{space 3}  8.76691
{txt}{space 13}_Iprov_36 {c |}{col 24}{res}{space 2}  6.33793{col 36}{space 2} 1.074272{col 47}{space 1}    5.90{col 56}{space 3}0.000{col 64}{space 4} 4.168393{col 77}{space 3} 8.507466
{txt}{space 13}_Iprov_37 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_41 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_42 {c |}{col 24}{res}{space 2} 1.548179{col 36}{space 2} .5506148{col 47}{space 1}    2.81{col 56}{space 3}0.008{col 64}{space 4} .4361901{col 77}{space 3} 2.660168
{txt}{space 13}_Iprov_43 {c |}{col 24}{res}{space 2} 4.926681{col 36}{space 2} .7647282{col 47}{space 1}    6.44{col 56}{space 3}0.000{col 64}{space 4} 3.382281{col 77}{space 3} 6.471081
{txt}{space 13}_Iprov_44 {c |}{col 24}{res}{space 2}-4.249765{col 36}{space 2} .9916701{col 47}{space 1}   -4.29{col 56}{space 3}0.000{col 64}{space 4}-6.252484{col 77}{space 3}-2.247047
{txt}{space 13}_Iprov_45 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_50 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_51 {c |}{col 24}{res}{space 2} 16.20135{col 36}{space 2} 1.309538{col 47}{space 1}   12.37{col 56}{space 3}0.000{col 64}{space 4} 13.55668{col 77}{space 3} 18.84601
{txt}{space 13}_Iprov_52 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_53 {c |}{col 24}{res}{space 2} 14.37489{col 36}{space 2} 1.235622{col 47}{space 1}   11.63{col 56}{space 3}0.000{col 64}{space 4}  11.8795{col 77}{space 3} 16.87028
{txt}{space 13}_Iprov_61 {c |}{col 24}{res}{space 2} 7.431741{col 36}{space 2} .6983672{col 47}{space 1}   10.64{col 56}{space 3}0.000{col 64}{space 4} 6.021359{col 77}{space 3} 8.842122
{txt}{space 13}_Iprov_62 {c |}{col 24}{res}{space 2}  16.7534{col 36}{space 2} 1.521871{col 47}{space 1}   11.01{col 56}{space 3}0.000{col 64}{space 4} 13.67992{col 77}{space 3} 19.82688
{txt}{space 13}_Iprov_64 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_65 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 17}_cons {c |}{col 24}{res}{space 2}-160.3427{col 36}{space 2} 13.20088{col 47}{space 1}  -12.15{col 56}{space 3}0.000{col 64}{space 4}-187.0025{col 77}{space 3} -133.683
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. estimates store table4_1_5
{txt}
{com}. 
. xi:reg everprotested CRdeath_pop_prefecture `individual_controls' `prefectural_controls' `minimum_controls' if birthyear<1977 & sentdowngeneration==0 & local==1,cl(city_id)
{txt}i.prov{col 19}_Iprov_13-65{col 39}(naturally coded; _Iprov_13 omitted)
note: _Iprov_22 omitted because of collinearity
note: _Iprov_23 omitted because of collinearity
note: _Iprov_31 omitted because of collinearity
note: _Iprov_32 omitted because of collinearity
note: _Iprov_37 omitted because of collinearity
note: _Iprov_41 omitted because of collinearity
note: _Iprov_45 omitted because of collinearity
note: _Iprov_50 omitted because of collinearity
note: _Iprov_52 omitted because of collinearity
note: _Iprov_64 omitted because of collinearity
note: _Iprov_65 omitted because of collinearity

Linear regression                               Number of obs     = {res}     1,061
                                                {txt}{help j_robustsingular:F(35, 41) }        =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.0288
                                                {txt}Root MSE          =    {res} .08678

{txt}{ralign 88:(Std. Err. adjusted for {res:42} clusters in city_id)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}         everprotested{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
CRdeath_pop_prefecture {c |}{col 24}{res}{space 2}-.0133513{col 36}{space 2} .0024151{col 47}{space 1}   -5.53{col 56}{space 3}0.000{col 64}{space 4}-.0182286{col 77}{space 3}-.0084739
{txt}{space 18}male {c |}{col 24}{res}{space 2} .0072876{col 36}{space 2} .0036368{col 47}{space 1}    2.00{col 56}{space 3}0.052{col 64}{space 4} -.000057{col 77}{space 3} .0146323
{txt}{space 19}age {c |}{col 24}{res}{space 2}-.0011131{col 36}{space 2} .0013733{col 47}{space 1}   -0.81{col 56}{space 3}0.422{col 64}{space 4}-.0038867{col 77}{space 3} .0016604
{txt}{space 13}agesquare {c |}{col 24}{res}{space 2} .0000121{col 36}{space 2} .0000113{col 47}{space 1}    1.07{col 56}{space 3}0.289{col 64}{space 4}-.0000107{col 77}{space 3} .0000349
{txt}{space 19}han {c |}{col 24}{res}{space 2} .0041204{col 36}{space 2} .0037968{col 47}{space 1}    1.09{col 56}{space 3}0.284{col 64}{space 4}-.0035474{col 77}{space 3} .0117881
{txt}{space 13}goodclass {c |}{col 24}{res}{space 2} -.019835{col 36}{space 2} .0293976{col 47}{space 1}   -0.67{col 56}{space 3}0.504{col 64}{space 4}-.0792048{col 77}{space 3} .0395347
{txt}{space 14}midclass {c |}{col 24}{res}{space 2}-.0142789{col 36}{space 2} .0313671{col 47}{space 1}   -0.46{col 56}{space 3}0.651{col 64}{space 4} -.077626{col 77}{space 3} .0490682
{txt}{space 5}sexratio_1964_pre {c |}{col 24}{res}{space 2}-.1109903{col 36}{space 2} .0367491{col 47}{space 1}   -3.02{col 56}{space 3}0.004{col 64}{space 4}-.1852066{col 77}{space 3}-.0367741
{txt}urbanpopratio_1964_pre {c |}{col 24}{res}{space 2} .0000161{col 36}{space 2} .0004935{col 47}{space 1}    0.03{col 56}{space 3}0.974{col 64}{space 4}-.0009805{col 77}{space 3} .0010127
{txt}{space 4}qingrebellioncount {c |}{col 24}{res}{space 2}-.0025728{col 36}{space 2} .0007279{col 47}{space 1}   -3.53{col 56}{space 3}0.001{col 64}{space 4}-.0040427{col 77}{space 3}-.0011028
{txt}{space 8}popdensity1964 {c |}{col 24}{res}{space 2} -.000056{col 36}{space 2} .0000226{col 47}{space 1}   -2.48{col 56}{space 3}0.017{col 64}{space 4}-.0001017{col 77}{space 3}-.0000103
{txt}{space 14}lnpergdp {c |}{col 24}{res}{space 2}-.0600143{col 36}{space 2} .0248475{col 47}{space 1}   -2.42{col 56}{space 3}0.020{col 64}{space 4}-.1101948{col 77}{space 3}-.0098338
{txt}{space 15}shouzai {c |}{col 24}{res}{space 2} .0009001{col 36}{space 2} .0031281{col 47}{space 1}    0.29{col 56}{space 3}0.775{col 64}{space 4}-.0054171{col 77}{space 3} .0072173
{txt}{space 16}extrap {c |}{col 24}{res}{space 2} .0029658{col 36}{space 2} .0013328{col 47}{space 1}    2.23{col 56}{space 3}0.032{col 64}{space 4} .0002741{col 77}{space 3} .0056575
{txt}{space 19}pmd {c |}{col 24}{res}{space 2}-.0005207{col 36}{space 2} .0002443{col 47}{space 1}   -2.13{col 56}{space 3}0.039{col 64}{space 4}-.0010142{col 77}{space 3}-.0000273
{txt}{space 13}longitude {c |}{col 24}{res}{space 2} -.008099{col 36}{space 2} .0016936{col 47}{space 1}   -4.78{col 56}{space 3}0.000{col 64}{space 4}-.0115192{col 77}{space 3}-.0046788
{txt}{space 14}latitude {c |}{col 24}{res}{space 2} .0135716{col 36}{space 2} .0041619{col 47}{space 1}    3.26{col 56}{space 3}0.002{col 64}{space 4} .0051665{col 77}{space 3} .0219767
{txt}{space 14}resource {c |}{col 24}{res}{space 2} .0078489{col 36}{space 2} .0040949{col 47}{space 1}    1.92{col 56}{space 3}0.062{col 64}{space 4}-.0004208{col 77}{space 3} .0161186
{txt}{space 16}colony {c |}{col 24}{res}{space 2} .0133826{col 36}{space 2} .0071079{col 47}{space 1}    1.88{col 56}{space 3}0.067{col 64}{space 4}-.0009721{col 77}{space 3} .0277372
{txt}{space 16}suit_m {c |}{col 24}{res}{space 2}-.0047217{col 36}{space 2} .0059057{col 47}{space 1}   -0.80{col 56}{space 3}0.429{col 64}{space 4}-.0166485{col 77}{space 3}  .007205
{txt}{space 5}distancetobeijing {c |}{col 24}{res}{space 2} .0000864{col 36}{space 2} .0000342{col 47}{space 1}    2.52{col 56}{space 3}0.016{col 64}{space 4} .0000173{col 77}{space 3} .0001556
{txt}{space 11}riverlength {c |}{col 24}{res}{space 2}-.0002049{col 36}{space 2}  .000042{col 47}{space 1}   -4.88{col 56}{space 3}0.000{col 64}{space 4}-.0002898{col 77}{space 3}  -.00012
{txt}{space 5}log_accountlength {c |}{col 24}{res}{space 2}-.0122406{col 36}{space 2} .0044114{col 47}{space 1}   -2.77{col 56}{space 3}0.008{col 64}{space 4}-.0211495{col 77}{space 3}-.0033316
{txt}{space 13}_Iprov_15 {c |}{col 24}{res}{space 2}  .001243{col 36}{space 2} .0093692{col 47}{space 1}    0.13{col 56}{space 3}0.895{col 64}{space 4}-.0176785{col 77}{space 3} .0201645
{txt}{space 13}_Iprov_21 {c |}{col 24}{res}{space 2} .0347057{col 36}{space 2} .0225116{col 47}{space 1}    1.54{col 56}{space 3}0.131{col 64}{space 4}-.0107573{col 77}{space 3} .0801687
{txt}{space 13}_Iprov_22 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_23 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_31 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_32 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_33 {c |}{col 24}{res}{space 2}  .089645{col 36}{space 2} .0295507{col 47}{space 1}    3.03{col 56}{space 3}0.004{col 64}{space 4} .0299662{col 77}{space 3} .1493239
{txt}{space 13}_Iprov_34 {c |}{col 24}{res}{space 2} .0688068{col 36}{space 2} .0159682{col 47}{space 1}    4.31{col 56}{space 3}0.000{col 64}{space 4} .0365583{col 77}{space 3} .1010552
{txt}{space 13}_Iprov_35 {c |}{col 24}{res}{space 2}  .064704{col 36}{space 2} .0348025{col 47}{space 1}    1.86{col 56}{space 3}0.070{col 64}{space 4} -.005581{col 77}{space 3} .1349891
{txt}{space 13}_Iprov_36 {c |}{col 24}{res}{space 2} .0606083{col 36}{space 2} .0299897{col 47}{space 1}    2.02{col 56}{space 3}0.050{col 64}{space 4} .0000429{col 77}{space 3} .1211737
{txt}{space 13}_Iprov_37 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_41 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_42 {c |}{col 24}{res}{space 2} .0019271{col 36}{space 2} .0110552{col 47}{space 1}    0.17{col 56}{space 3}0.862{col 64}{space 4}-.0203993{col 77}{space 3} .0242536
{txt}{space 13}_Iprov_43 {c |}{col 24}{res}{space 2} .0364789{col 36}{space 2}  .015729{col 47}{space 1}    2.32{col 56}{space 3}0.025{col 64}{space 4} .0047135{col 77}{space 3} .0682442
{txt}{space 13}_Iprov_44 {c |}{col 24}{res}{space 2} .0507171{col 36}{space 2} .0292725{col 47}{space 1}    1.73{col 56}{space 3}0.091{col 64}{space 4}-.0083998{col 77}{space 3}  .109834
{txt}{space 13}_Iprov_45 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_50 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_51 {c |}{col 24}{res}{space 2}-.0494467{col 36}{space 2} .0245435{col 47}{space 1}   -2.01{col 56}{space 3}0.051{col 64}{space 4}-.0990133{col 77}{space 3} .0001199
{txt}{space 13}_Iprov_52 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_53 {c |}{col 24}{res}{space 2}-.0646934{col 36}{space 2} .0237417{col 47}{space 1}   -2.72{col 56}{space 3}0.009{col 64}{space 4}-.1126408{col 77}{space 3}-.0167461
{txt}{space 13}_Iprov_61 {c |}{col 24}{res}{space 2}-.0272674{col 36}{space 2} .0141049{col 47}{space 1}   -1.93{col 56}{space 3}0.060{col 64}{space 4}-.0557527{col 77}{space 3}  .001218
{txt}{space 13}_Iprov_62 {c |}{col 24}{res}{space 2}-.0915674{col 36}{space 2} .0283619{col 47}{space 1}   -3.23{col 56}{space 3}0.002{col 64}{space 4}-.1488454{col 77}{space 3}-.0342893
{txt}{space 13}_Iprov_64 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_65 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 17}_cons {c |}{col 24}{res}{space 2} 1.031414{col 36}{space 2}  .297543{col 47}{space 1}    3.47{col 56}{space 3}0.001{col 64}{space 4} .4305134{col 77}{space 3} 1.632314
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. estimates store table4_1_7
{txt}
{com}. 
. *Sent-down*
. 
. xi:reg trustcentralhead CRdeath_pop_prefecture `individual_controls' `prefectural_controls' `minimum_controls' if birthyear<1977 & sentdowngeneration==1 & local==1,cl(city_id)
{txt}i.prov{col 19}_Iprov_13-65{col 39}(naturally coded; _Iprov_13 omitted)
note: _Iprov_22 omitted because of collinearity
note: _Iprov_23 omitted because of collinearity
note: _Iprov_31 omitted because of collinearity
note: _Iprov_32 omitted because of collinearity
note: _Iprov_37 omitted because of collinearity
note: _Iprov_41 omitted because of collinearity
note: _Iprov_45 omitted because of collinearity
note: _Iprov_50 omitted because of collinearity
note: _Iprov_52 omitted because of collinearity
note: _Iprov_64 omitted because of collinearity
note: _Iprov_65 omitted because of collinearity

Linear regression                               Number of obs     = {res}       156
                                                {txt}{help j_robustsingular:F(33, 38) }        =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.4116
                                                {txt}Root MSE          =    {res} .62926

{txt}{ralign 88:(Std. Err. adjusted for {res:39} clusters in city_id)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}      trustcentralhead{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
CRdeath_pop_prefecture {c |}{col 24}{res}{space 2} .0052059{col 36}{space 2} .1119803{col 47}{space 1}    0.05{col 56}{space 3}0.963{col 64}{space 4}-.2214864{col 77}{space 3} .2318982
{txt}{space 18}male {c |}{col 24}{res}{space 2}-.1292558{col 36}{space 2} .1214313{col 47}{space 1}   -1.06{col 56}{space 3}0.294{col 64}{space 4}-.3750806{col 77}{space 3}  .116569
{txt}{space 19}age {c |}{col 24}{res}{space 2}-1.782735{col 36}{space 2} 2.456681{col 47}{space 1}   -0.73{col 56}{space 3}0.472{col 64}{space 4}-6.756026{col 77}{space 3} 3.190555
{txt}{space 13}agesquare {c |}{col 24}{res}{space 2} .0153057{col 36}{space 2} .0213097{col 47}{space 1}    0.72{col 56}{space 3}0.477{col 64}{space 4}-.0278336{col 77}{space 3}  .058445
{txt}{space 19}han {c |}{col 24}{res}{space 2} .1719004{col 36}{space 2} .1453902{col 47}{space 1}    1.18{col 56}{space 3}0.244{col 64}{space 4}-.1224267{col 77}{space 3} .4662274
{txt}{space 13}goodclass {c |}{col 24}{res}{space 2}-.1688971{col 36}{space 2} .2874721{col 47}{space 1}   -0.59{col 56}{space 3}0.560{col 64}{space 4}-.7508539{col 77}{space 3} .4130597
{txt}{space 14}midclass {c |}{col 24}{res}{space 2}-.1186155{col 36}{space 2} .3332903{col 47}{space 1}   -0.36{col 56}{space 3}0.724{col 64}{space 4}-.7933265{col 77}{space 3} .5560955
{txt}{space 5}sexratio_1964_pre {c |}{col 24}{res}{space 2}-.4890941{col 36}{space 2} 1.385455{col 47}{space 1}   -0.35{col 56}{space 3}0.726{col 64}{space 4}-3.293802{col 77}{space 3} 2.315614
{txt}urbanpopratio_1964_pre {c |}{col 24}{res}{space 2} .0996933{col 36}{space 2} .0160774{col 47}{space 1}    6.20{col 56}{space 3}0.000{col 64}{space 4} .0671462{col 77}{space 3} .1322404
{txt}{space 4}qingrebellioncount {c |}{col 24}{res}{space 2} .0236249{col 36}{space 2} .0279955{col 47}{space 1}    0.84{col 56}{space 3}0.404{col 64}{space 4}-.0330491{col 77}{space 3} .0802989
{txt}{space 8}popdensity1964 {c |}{col 24}{res}{space 2} .0008482{col 36}{space 2} .0005382{col 47}{space 1}    1.58{col 56}{space 3}0.123{col 64}{space 4}-.0002413{col 77}{space 3} .0019376
{txt}{space 14}lnpergdp {c |}{col 24}{res}{space 2}-.0510805{col 36}{space 2} .9968757{col 47}{space 1}   -0.05{col 56}{space 3}0.959{col 64}{space 4} -2.06915{col 77}{space 3} 1.966989
{txt}{space 15}shouzai {c |}{col 24}{res}{space 2} .0316513{col 36}{space 2} .1191203{col 47}{space 1}    0.27{col 56}{space 3}0.792{col 64}{space 4}-.2094952{col 77}{space 3} .2727978
{txt}{space 16}extrap {c |}{col 24}{res}{space 2}-.1005876{col 36}{space 2} .0443817{col 47}{space 1}   -2.27{col 56}{space 3}0.029{col 64}{space 4}-.1904336{col 77}{space 3}-.0107415
{txt}{space 19}pmd {c |}{col 24}{res}{space 2} .0004319{col 36}{space 2} .0068899{col 47}{space 1}    0.06{col 56}{space 3}0.950{col 64}{space 4} -.013516{col 77}{space 3} .0143799
{txt}{space 13}longitude {c |}{col 24}{res}{space 2} -.031029{col 36}{space 2} .0604727{col 47}{space 1}   -0.51{col 56}{space 3}0.611{col 64}{space 4}-.1534496{col 77}{space 3} .0913915
{txt}{space 14}latitude {c |}{col 24}{res}{space 2}-.0009946{col 36}{space 2} .0898792{col 47}{space 1}   -0.01{col 56}{space 3}0.991{col 64}{space 4}-.1829454{col 77}{space 3} .1809562
{txt}{space 14}resource {c |}{col 24}{res}{space 2} .0803305{col 36}{space 2} .2522553{col 47}{space 1}    0.32{col 56}{space 3}0.752{col 64}{space 4}-.4303337{col 77}{space 3} .5909947
{txt}{space 16}colony {c |}{col 24}{res}{space 2} .2875894{col 36}{space 2} .2603508{col 47}{space 1}    1.10{col 56}{space 3}0.276{col 64}{space 4}-.2394633{col 77}{space 3}  .814642
{txt}{space 16}suit_m {c |}{col 24}{res}{space 2}-.4310856{col 36}{space 2} .1751007{col 47}{space 1}   -2.46{col 56}{space 3}0.018{col 64}{space 4}-.7855584{col 77}{space 3}-.0766129
{txt}{space 5}distancetobeijing {c |}{col 24}{res}{space 2} .0001795{col 36}{space 2} .0008227{col 47}{space 1}    0.22{col 56}{space 3}0.828{col 64}{space 4} -.001486{col 77}{space 3}  .001845
{txt}{space 11}riverlength {c |}{col 24}{res}{space 2} .0051126{col 36}{space 2} .0014208{col 47}{space 1}    3.60{col 56}{space 3}0.001{col 64}{space 4} .0022363{col 77}{space 3}  .007989
{txt}{space 5}log_accountlength {c |}{col 24}{res}{space 2} .6263029{col 36}{space 2} .1231929{col 47}{space 1}    5.08{col 56}{space 3}0.000{col 64}{space 4} .3769119{col 77}{space 3} .8756938
{txt}{space 13}_Iprov_15 {c |}{col 24}{res}{space 2}-.2115482{col 36}{space 2} .2319957{col 47}{space 1}   -0.91{col 56}{space 3}0.368{col 64}{space 4}-.6811989{col 77}{space 3} .2581024
{txt}{space 13}_Iprov_21 {c |}{col 24}{res}{space 2}-.3664364{col 36}{space 2} .5631012{col 47}{space 1}   -0.65{col 56}{space 3}0.519{col 64}{space 4}-1.506375{col 77}{space 3} .7735024
{txt}{space 13}_Iprov_22 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_23 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_31 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_32 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_33 {c |}{col 24}{res}{space 2} .4454644{col 36}{space 2} 1.181407{col 47}{space 1}    0.38{col 56}{space 3}0.708{col 64}{space 4}-1.946168{col 77}{space 3} 2.837097
{txt}{space 13}_Iprov_34 {c |}{col 24}{res}{space 2} 1.557606{col 36}{space 2}  .571406{col 47}{space 1}    2.73{col 56}{space 3}0.010{col 64}{space 4} .4008547{col 77}{space 3} 2.714357
{txt}{space 13}_Iprov_35 {c |}{col 24}{res}{space 2} 1.462394{col 36}{space 2} .6724042{col 47}{space 1}    2.17{col 56}{space 3}0.036{col 64}{space 4} .1011827{col 77}{space 3} 2.823605
{txt}{space 13}_Iprov_36 {c |}{col 24}{res}{space 2} 1.020601{col 36}{space 2} .6717749{col 47}{space 1}    1.52{col 56}{space 3}0.137{col 64}{space 4}-.3393361{col 77}{space 3} 2.380538
{txt}{space 13}_Iprov_37 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_41 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_42 {c |}{col 24}{res}{space 2} .8017002{col 36}{space 2} .4159231{col 47}{space 1}    1.93{col 56}{space 3}0.061{col 64}{space 4}-.0402921{col 77}{space 3} 1.643692
{txt}{space 13}_Iprov_43 {c |}{col 24}{res}{space 2} .2089794{col 36}{space 2}  .486648{col 47}{space 1}    0.43{col 56}{space 3}0.670{col 64}{space 4} -.776188{col 77}{space 3} 1.194147
{txt}{space 13}_Iprov_44 {c |}{col 24}{res}{space 2}  1.47393{col 36}{space 2} 1.227841{col 47}{space 1}    1.20{col 56}{space 3}0.237{col 64}{space 4}-1.011703{col 77}{space 3} 3.959564
{txt}{space 13}_Iprov_45 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_50 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_51 {c |}{col 24}{res}{space 2} .1377749{col 36}{space 2} 1.132597{col 47}{space 1}    0.12{col 56}{space 3}0.904{col 64}{space 4}-2.155049{col 77}{space 3} 2.430599
{txt}{space 13}_Iprov_52 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_53 {c |}{col 24}{res}{space 2} .1673086{col 36}{space 2}  .786521{col 47}{space 1}    0.21{col 56}{space 3}0.833{col 64}{space 4} -1.42492{col 77}{space 3} 1.759537
{txt}{space 13}_Iprov_61 {c |}{col 24}{res}{space 2} -.529137{col 36}{space 2} .5466252{col 47}{space 1}   -0.97{col 56}{space 3}0.339{col 64}{space 4}-1.635722{col 77}{space 3}  .577448
{txt}{space 13}_Iprov_62 {c |}{col 24}{res}{space 2}  .617091{col 36}{space 2} 1.265257{col 47}{space 1}    0.49{col 56}{space 3}0.629{col 64}{space 4}-1.944288{col 77}{space 3}  3.17847
{txt}{space 13}_Iprov_64 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_65 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 17}_cons {c |}{col 24}{res}{space 2} 52.60391{col 36}{space 2} 67.54711{col 47}{space 1}    0.78{col 56}{space 3}0.441{col 64}{space 4}-84.13807{col 77}{space 3} 189.3459
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. estimates store table4_1_2
{txt}
{com}. 
. xi:reg lackingdemocracy CRdeath_pop_prefecture `individual_controls' `prefectural_controls' `minimum_controls' if birthyear<1977 & sentdowngeneration==1 & local==1,cl(city_id)
{txt}i.prov{col 19}_Iprov_13-65{col 39}(naturally coded; _Iprov_13 omitted)
note: lnpergdp omitted because of collinearity
note: _Iprov_22 omitted because of collinearity
note: _Iprov_23 omitted because of collinearity
note: _Iprov_31 omitted because of collinearity
note: _Iprov_32 omitted because of collinearity
note: _Iprov_37 omitted because of collinearity
note: _Iprov_41 omitted because of collinearity
note: _Iprov_44 omitted because of collinearity
note: _Iprov_50 omitted because of collinearity
note: _Iprov_52 omitted because of collinearity
note: _Iprov_64 omitted because of collinearity
note: _Iprov_65 omitted because of collinearity

Linear regression                               Number of obs     = {res}       122
                                                {txt}{help j_robustsingular:F(33, 37) }        =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.2848
                                                {txt}Root MSE          =    {res} 2.5943

{txt}{ralign 88:(Std. Err. adjusted for {res:38} clusters in city_id)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}      lackingdemocracy{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
CRdeath_pop_prefecture {c |}{col 24}{res}{space 2} .1445729{col 36}{space 2} .5656129{col 47}{space 1}    0.26{col 56}{space 3}0.800{col 64}{space 4}-1.001468{col 77}{space 3} 1.290614
{txt}{space 18}male {c |}{col 24}{res}{space 2} .8108432{col 36}{space 2} .7244434{col 47}{space 1}    1.12{col 56}{space 3}0.270{col 64}{space 4}-.6570185{col 77}{space 3} 2.278705
{txt}{space 19}age {c |}{col 24}{res}{space 2}-6.436967{col 36}{space 2} 13.44409{col 47}{space 1}   -0.48{col 56}{space 3}0.635{col 64}{space 4}-33.67728{col 77}{space 3} 20.80335
{txt}{space 13}agesquare {c |}{col 24}{res}{space 2} .0558171{col 36}{space 2} .1171676{col 47}{space 1}    0.48{col 56}{space 3}0.637{col 64}{space 4} -.181587{col 77}{space 3} .2932212
{txt}{space 19}han {c |}{col 24}{res}{space 2}-.2065084{col 36}{space 2} 1.406338{col 47}{space 1}   -0.15{col 56}{space 3}0.884{col 64}{space 4} -3.05602{col 77}{space 3} 2.643003
{txt}{space 13}goodclass {c |}{col 24}{res}{space 2} 1.200327{col 36}{space 2} .7341753{col 47}{space 1}    1.63{col 56}{space 3}0.111{col 64}{space 4}-.2872536{col 77}{space 3} 2.687907
{txt}{space 14}midclass {c |}{col 24}{res}{space 2} .4574547{col 36}{space 2} .8002109{col 47}{space 1}    0.57{col 56}{space 3}0.571{col 64}{space 4}-1.163927{col 77}{space 3} 2.078836
{txt}{space 5}sexratio_1964_pre {c |}{col 24}{res}{space 2}  5.26059{col 36}{space 2} 6.865239{col 47}{space 1}    0.77{col 56}{space 3}0.448{col 64}{space 4}-8.649706{col 77}{space 3} 19.17089
{txt}urbanpopratio_1964_pre {c |}{col 24}{res}{space 2}-.1310225{col 36}{space 2} .0873635{col 47}{space 1}   -1.50{col 56}{space 3}0.142{col 64}{space 4}-.3080378{col 77}{space 3} .0459929
{txt}{space 4}qingrebellioncount {c |}{col 24}{res}{space 2} .1718344{col 36}{space 2} .1091433{col 47}{space 1}    1.57{col 56}{space 3}0.124{col 64}{space 4}-.0493108{col 77}{space 3} .3929797
{txt}{space 8}popdensity1964 {c |}{col 24}{res}{space 2}-.0075189{col 36}{space 2}  .005874{col 47}{space 1}   -1.28{col 56}{space 3}0.209{col 64}{space 4}-.0194207{col 77}{space 3} .0043829
{txt}{space 14}lnpergdp {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 15}shouzai {c |}{col 24}{res}{space 2} .2817668{col 36}{space 2} .4466292{col 47}{space 1}    0.63{col 56}{space 3}0.532{col 64}{space 4}  -.62319{col 77}{space 3} 1.186724
{txt}{space 16}extrap {c |}{col 24}{res}{space 2}-.0161155{col 36}{space 2} .3700556{col 47}{space 1}   -0.04{col 56}{space 3}0.965{col 64}{space 4}-.7659193{col 77}{space 3} .7336883
{txt}{space 19}pmd {c |}{col 24}{res}{space 2}-.0129411{col 36}{space 2} .0475118{col 47}{space 1}   -0.27{col 56}{space 3}0.787{col 64}{space 4}-.1092092{col 77}{space 3}  .083327
{txt}{space 13}longitude {c |}{col 24}{res}{space 2} .4479477{col 36}{space 2} .3001338{col 47}{space 1}    1.49{col 56}{space 3}0.144{col 64}{space 4}-.1601811{col 77}{space 3} 1.056077
{txt}{space 14}latitude {c |}{col 24}{res}{space 2} -.116904{col 36}{space 2} .6908218{col 47}{space 1}   -0.17{col 56}{space 3}0.867{col 64}{space 4}-1.516642{col 77}{space 3} 1.282834
{txt}{space 14}resource {c |}{col 24}{res}{space 2}  .971215{col 36}{space 2} .7245469{col 47}{space 1}    1.34{col 56}{space 3}0.188{col 64}{space 4}-.4968566{col 77}{space 3} 2.439287
{txt}{space 16}colony {c |}{col 24}{res}{space 2}  1.58615{col 36}{space 2}  1.71073{col 47}{space 1}    0.93{col 56}{space 3}0.360{col 64}{space 4}-1.880117{col 77}{space 3} 5.052418
{txt}{space 16}suit_m {c |}{col 24}{res}{space 2}-3.046163{col 36}{space 2} 1.737942{col 47}{space 1}   -1.75{col 56}{space 3}0.088{col 64}{space 4}-6.567568{col 77}{space 3} .4752423
{txt}{space 5}distancetobeijing {c |}{col 24}{res}{space 2}-.0002387{col 36}{space 2} .0041444{col 47}{space 1}   -0.06{col 56}{space 3}0.954{col 64}{space 4}-.0086359{col 77}{space 3} .0081586
{txt}{space 11}riverlength {c |}{col 24}{res}{space 2}-.0288806{col 36}{space 2} .0109834{col 47}{space 1}   -2.63{col 56}{space 3}0.012{col 64}{space 4}-.0511351{col 77}{space 3}-.0066261
{txt}{space 5}log_accountlength {c |}{col 24}{res}{space 2} 1.990776{col 36}{space 2} .6554839{col 47}{space 1}    3.04{col 56}{space 3}0.004{col 64}{space 4} .6626391{col 77}{space 3} 3.318912
{txt}{space 13}_Iprov_15 {c |}{col 24}{res}{space 2}-.7940343{col 36}{space 2} 2.038249{col 47}{space 1}   -0.39{col 56}{space 3}0.699{col 64}{space 4}-4.923919{col 77}{space 3}  3.33585
{txt}{space 13}_Iprov_21 {c |}{col 24}{res}{space 2} .3898575{col 36}{space 2} 2.238191{col 47}{space 1}    0.17{col 56}{space 3}0.863{col 64}{space 4}-4.145148{col 77}{space 3} 4.924863
{txt}{space 13}_Iprov_22 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_23 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_31 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_32 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_33 {c |}{col 24}{res}{space 2} -.426404{col 36}{space 2} 6.304177{col 47}{space 1}   -0.07{col 56}{space 3}0.946{col 64}{space 4}-13.19988{col 77}{space 3} 12.34707
{txt}{space 13}_Iprov_34 {c |}{col 24}{res}{space 2} 3.265747{col 36}{space 2} 4.447741{col 47}{space 1}    0.73{col 56}{space 3}0.467{col 64}{space 4}-5.746233{col 77}{space 3} 12.27773
{txt}{space 13}_Iprov_35 {c |}{col 24}{res}{space 2} 2.704395{col 36}{space 2} 9.338971{col 47}{space 1}    0.29{col 56}{space 3}0.774{col 64}{space 4}-16.21816{col 77}{space 3} 21.62695
{txt}{space 13}_Iprov_36 {c |}{col 24}{res}{space 2} 5.523371{col 36}{space 2}  7.00702{col 47}{space 1}    0.79{col 56}{space 3}0.436{col 64}{space 4}  -8.6742{col 77}{space 3} 19.72094
{txt}{space 13}_Iprov_37 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_41 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_42 {c |}{col 24}{res}{space 2} 4.384516{col 36}{space 2} 3.668489{col 47}{space 1}    1.20{col 56}{space 3}0.240{col 64}{space 4}-3.048549{col 77}{space 3} 11.81758
{txt}{space 13}_Iprov_43 {c |}{col 24}{res}{space 2} 5.181254{col 36}{space 2} 5.078189{col 47}{space 1}    1.02{col 56}{space 3}0.314{col 64}{space 4}-5.108134{col 77}{space 3} 15.47064
{txt}{space 13}_Iprov_44 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_45 {c |}{col 24}{res}{space 2} 2.661919{col 36}{space 2} 6.698331{col 47}{space 1}    0.40{col 56}{space 3}0.693{col 64}{space 4}-10.91019{col 77}{space 3} 16.23403
{txt}{space 13}_Iprov_50 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_51 {c |}{col 24}{res}{space 2} 8.216715{col 36}{space 2} 5.542096{col 47}{space 1}    1.48{col 56}{space 3}0.147{col 64}{space 4}-3.012638{col 77}{space 3} 19.44607
{txt}{space 13}_Iprov_52 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_53 {c |}{col 24}{res}{space 2} 6.744233{col 36}{space 2} 6.537652{col 47}{space 1}    1.03{col 56}{space 3}0.309{col 64}{space 4}-6.502309{col 77}{space 3} 19.99077
{txt}{space 13}_Iprov_61 {c |}{col 24}{res}{space 2} 2.003908{col 36}{space 2} 3.182368{col 47}{space 1}    0.63{col 56}{space 3}0.533{col 64}{space 4}-4.444181{col 77}{space 3} 8.451998
{txt}{space 13}_Iprov_62 {c |}{col 24}{res}{space 2} 4.355233{col 36}{space 2} 4.604731{col 47}{space 1}    0.95{col 56}{space 3}0.350{col 64}{space 4}-4.974837{col 77}{space 3}  13.6853
{txt}{space 13}_Iprov_64 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_65 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 17}_cons {c |}{col 24}{res}{space 2} 122.8719{col 36}{space 2} 372.6635{col 47}{space 1}    0.33{col 56}{space 3}0.743{col 64}{space 4}-632.2159{col 77}{space 3} 877.9598
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. estimates store table4_1_4
{txt}
{com}. 
. xi:reg lackingfreeexpression CRdeath_pop_prefecture `individual_controls' `prefectural_controls' `minimum_controls' if birthyear<1977 & sentdowngeneration==1 & local==1,cl(city_id)
{txt}i.prov{col 19}_Iprov_13-65{col 39}(naturally coded; _Iprov_13 omitted)
note: _Iprov_22 omitted because of collinearity
note: _Iprov_31 omitted because of collinearity
note: _Iprov_32 omitted because of collinearity
note: _Iprov_37 omitted because of collinearity
note: _Iprov_41 omitted because of collinearity
note: _Iprov_45 omitted because of collinearity
note: _Iprov_50 omitted because of collinearity
note: _Iprov_51 omitted because of collinearity
note: _Iprov_52 omitted because of collinearity
note: _Iprov_64 omitted because of collinearity
note: _Iprov_65 omitted because of collinearity

Linear regression                               Number of obs     = {res}       147
                                                {txt}{help j_robustsingular:F(34, 38) }        =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.2632
                                                {txt}Root MSE          =    {res} 2.7294

{txt}{ralign 88:(Std. Err. adjusted for {res:39} clusters in city_id)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1} lackingfreeexpression{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
CRdeath_pop_prefecture {c |}{col 24}{res}{space 2} 1.015564{col 36}{space 2}  .572452{col 47}{space 1}    1.77{col 56}{space 3}0.084{col 64}{space 4}-.1433048{col 77}{space 3} 2.174432
{txt}{space 18}male {c |}{col 24}{res}{space 2}-.4393403{col 36}{space 2} .7609021{col 47}{space 1}   -0.58{col 56}{space 3}0.567{col 64}{space 4}-1.979706{col 77}{space 3} 1.101025
{txt}{space 19}age {c |}{col 24}{res}{space 2}-22.60154{col 36}{space 2} 9.815701{col 47}{space 1}   -2.30{col 56}{space 3}0.027{col 64}{space 4}-42.47238{col 77}{space 3}-2.730687
{txt}{space 13}agesquare {c |}{col 24}{res}{space 2} .1973972{col 36}{space 2} .0859612{col 47}{space 1}    2.30{col 56}{space 3}0.027{col 64}{space 4} .0233778{col 77}{space 3} .3714166
{txt}{space 19}han {c |}{col 24}{res}{space 2} .5988249{col 36}{space 2} 1.051142{col 47}{space 1}    0.57{col 56}{space 3}0.572{col 64}{space 4}-1.529102{col 77}{space 3} 2.726751
{txt}{space 13}goodclass {c |}{col 24}{res}{space 2} .5851027{col 36}{space 2} 1.105894{col 47}{space 1}    0.53{col 56}{space 3}0.600{col 64}{space 4}-1.653662{col 77}{space 3} 2.823867
{txt}{space 14}midclass {c |}{col 24}{res}{space 2}  1.02312{col 36}{space 2} 1.317629{col 47}{space 1}    0.78{col 56}{space 3}0.442{col 64}{space 4} -1.64428{col 77}{space 3} 3.690519
{txt}{space 5}sexratio_1964_pre {c |}{col 24}{res}{space 2} 28.50867{col 36}{space 2}   9.8757{col 47}{space 1}    2.89{col 56}{space 3}0.006{col 64}{space 4} 8.516355{col 77}{space 3} 48.50098
{txt}urbanpopratio_1964_pre {c |}{col 24}{res}{space 2}-.1633683{col 36}{space 2} .0926118{col 47}{space 1}   -1.76{col 56}{space 3}0.086{col 64}{space 4}-.3508511{col 77}{space 3} .0241145
{txt}{space 4}qingrebellioncount {c |}{col 24}{res}{space 2}-.3087726{col 36}{space 2} .0983627{col 47}{space 1}   -3.14{col 56}{space 3}0.003{col 64}{space 4}-.5078974{col 77}{space 3}-.1096478
{txt}{space 8}popdensity1964 {c |}{col 24}{res}{space 2} .0014876{col 36}{space 2} .0021476{col 47}{space 1}    0.69{col 56}{space 3}0.493{col 64}{space 4}  -.00286{col 77}{space 3} .0058352
{txt}{space 14}lnpergdp {c |}{col 24}{res}{space 2} 4.220845{col 36}{space 2} 4.900694{col 47}{space 1}    0.86{col 56}{space 3}0.394{col 64}{space 4}-5.700092{col 77}{space 3} 14.14178
{txt}{space 15}shouzai {c |}{col 24}{res}{space 2}  .679752{col 36}{space 2}  .588682{col 47}{space 1}    1.15{col 56}{space 3}0.255{col 64}{space 4}-.5119723{col 77}{space 3} 1.871476
{txt}{space 16}extrap {c |}{col 24}{res}{space 2}-2.082509{col 36}{space 2}  1.26131{col 47}{space 1}   -1.65{col 56}{space 3}0.107{col 64}{space 4}-4.635898{col 77}{space 3} .4708804
{txt}{space 19}pmd {c |}{col 24}{res}{space 2}  -.19143{col 36}{space 2} .1432091{col 47}{space 1}   -1.34{col 56}{space 3}0.189{col 64}{space 4}-.4813416{col 77}{space 3} .0984817
{txt}{space 13}longitude {c |}{col 24}{res}{space 2} .3376405{col 36}{space 2} .2847004{col 47}{space 1}    1.19{col 56}{space 3}0.243{col 64}{space 4}-.2387053{col 77}{space 3} .9139862
{txt}{space 14}latitude {c |}{col 24}{res}{space 2} .0575386{col 36}{space 2} .5144038{col 47}{space 1}    0.11{col 56}{space 3}0.912{col 64}{space 4}-.9838174{col 77}{space 3} 1.098895
{txt}{space 14}resource {c |}{col 24}{res}{space 2}-1.095921{col 36}{space 2} .8962874{col 47}{space 1}   -1.22{col 56}{space 3}0.229{col 64}{space 4} -2.91036{col 77}{space 3} .7185185
{txt}{space 16}colony {c |}{col 24}{res}{space 2} 1.814281{col 36}{space 2} 1.393941{col 47}{space 1}    1.30{col 56}{space 3}0.201{col 64}{space 4}-1.007605{col 77}{space 3} 4.636167
{txt}{space 16}suit_m {c |}{col 24}{res}{space 2}-.8134301{col 36}{space 2}  1.36473{col 47}{space 1}   -0.60{col 56}{space 3}0.555{col 64}{space 4}-3.576181{col 77}{space 3} 1.949321
{txt}{space 5}distancetobeijing {c |}{col 24}{res}{space 2} .0037941{col 36}{space 2} .0057672{col 47}{space 1}    0.66{col 56}{space 3}0.515{col 64}{space 4}-.0078809{col 77}{space 3} .0154692
{txt}{space 11}riverlength {c |}{col 24}{res}{space 2} .0037823{col 36}{space 2} .0075151{col 47}{space 1}    0.50{col 56}{space 3}0.618{col 64}{space 4}-.0114312{col 77}{space 3} .0189958
{txt}{space 5}log_accountlength {c |}{col 24}{res}{space 2} -.634564{col 36}{space 2} .9857736{col 47}{space 1}   -0.64{col 56}{space 3}0.524{col 64}{space 4}-2.630158{col 77}{space 3}  1.36103
{txt}{space 13}_Iprov_15 {c |}{col 24}{res}{space 2}-14.70105{col 36}{space 2} 7.271456{col 47}{space 1}   -2.02{col 56}{space 3}0.050{col 64}{space 4}-29.42134{col 77}{space 3}  .019247
{txt}{space 13}_Iprov_21 {c |}{col 24}{res}{space 2} 4.053979{col 36}{space 2} 3.097468{col 47}{space 1}    1.31{col 56}{space 3}0.198{col 64}{space 4}-2.216518{col 77}{space 3} 10.32447
{txt}{space 13}_Iprov_22 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_23 {c |}{col 24}{res}{space 2}-11.33792{col 36}{space 2} 7.942321{col 47}{space 1}   -1.43{col 56}{space 3}0.162{col 64}{space 4}-27.41631{col 77}{space 3} 4.740463
{txt}{space 13}_Iprov_31 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_32 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_33 {c |}{col 24}{res}{space 2}-10.65742{col 36}{space 2} 6.592773{col 47}{space 1}   -1.62{col 56}{space 3}0.114{col 64}{space 4} -24.0038{col 77}{space 3} 2.688947
{txt}{space 13}_Iprov_34 {c |}{col 24}{res}{space 2}-7.816733{col 36}{space 2} 4.883975{col 47}{space 1}   -1.60{col 56}{space 3}0.118{col 64}{space 4}-17.70382{col 77}{space 3} 2.070358
{txt}{space 13}_Iprov_35 {c |}{col 24}{res}{space 2} .2340404{col 36}{space 2} 4.265864{col 47}{space 1}    0.05{col 56}{space 3}0.957{col 64}{space 4}-8.401749{col 77}{space 3}  8.86983
{txt}{space 13}_Iprov_36 {c |}{col 24}{res}{space 2} 1.581549{col 36}{space 2} 4.104724{col 47}{space 1}    0.39{col 56}{space 3}0.702{col 64}{space 4}-6.728029{col 77}{space 3} 9.891127
{txt}{space 13}_Iprov_37 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_41 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_42 {c |}{col 24}{res}{space 2}-4.570588{col 36}{space 2}  3.63636{col 47}{space 1}   -1.26{col 56}{space 3}0.216{col 64}{space 4}-11.93201{col 77}{space 3} 2.790838
{txt}{space 13}_Iprov_43 {c |}{col 24}{res}{space 2} -.675032{col 36}{space 2} 1.769268{col 47}{space 1}   -0.38{col 56}{space 3}0.705{col 64}{space 4}-4.256727{col 77}{space 3} 2.906663
{txt}{space 13}_Iprov_44 {c |}{col 24}{res}{space 2}-2.730999{col 36}{space 2}  5.95517{col 47}{space 1}   -0.46{col 56}{space 3}0.649{col 64}{space 4}-14.78661{col 77}{space 3} 9.324612
{txt}{space 13}_Iprov_45 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_50 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_51 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_52 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_53 {c |}{col 24}{res}{space 2} 6.685121{col 36}{space 2} 3.460368{col 47}{space 1}    1.93{col 56}{space 3}0.061{col 64}{space 4}-.3200283{col 77}{space 3} 13.69027
{txt}{space 13}_Iprov_61 {c |}{col 24}{res}{space 2}-1.531737{col 36}{space 2} 1.787563{col 47}{space 1}   -0.86{col 56}{space 3}0.397{col 64}{space 4}-5.150468{col 77}{space 3} 2.086995
{txt}{space 13}_Iprov_62 {c |}{col 24}{res}{space 2} 3.720196{col 36}{space 2} 4.835117{col 47}{space 1}    0.77{col 56}{space 3}0.446{col 64}{space 4}-6.067986{col 77}{space 3} 13.50838
{txt}{space 13}_Iprov_64 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_65 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 17}_cons {c |}{col 24}{res}{space 2} 566.1617{col 36}{space 2} 263.7341{col 47}{space 1}    2.15{col 56}{space 3}0.038{col 64}{space 4} 32.25995{col 77}{space 3} 1100.064
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. estimates store table4_1_6
{txt}
{com}. 
. xi:reg everprotested CRdeath_pop_prefecture `individual_controls' `prefectural_controls' `minimum_controls' if birthyear<1977 & sentdowngeneration==1 & local==1,cl(city_id)
{txt}i.prov{col 19}_Iprov_13-65{col 39}(naturally coded; _Iprov_13 omitted)
note: _Iprov_22 omitted because of collinearity
note: _Iprov_31 omitted because of collinearity
note: _Iprov_32 omitted because of collinearity
note: _Iprov_37 omitted because of collinearity
note: _Iprov_41 omitted because of collinearity
note: _Iprov_45 omitted because of collinearity
note: _Iprov_50 omitted because of collinearity
note: _Iprov_51 omitted because of collinearity
note: _Iprov_52 omitted because of collinearity
note: _Iprov_64 omitted because of collinearity
note: _Iprov_65 omitted because of collinearity

Linear regression                               Number of obs     = {res}       173
                                                {txt}{help j_robustsingular:F(35, 39) }        =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.0910
                                                {txt}Root MSE          =    {res} .14037

{txt}{ralign 88:(Std. Err. adjusted for {res:40} clusters in city_id)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}         everprotested{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
CRdeath_pop_prefecture {c |}{col 24}{res}{space 2}-.0033008{col 36}{space 2} .0123043{col 47}{space 1}   -0.27{col 56}{space 3}0.790{col 64}{space 4}-.0281887{col 77}{space 3}  .021587
{txt}{space 18}male {c |}{col 24}{res}{space 2} .0305688{col 36}{space 2}  .017749{col 47}{space 1}    1.72{col 56}{space 3}0.093{col 64}{space 4} -.005332{col 77}{space 3} .0664696
{txt}{space 19}age {c |}{col 24}{res}{space 2}-.4295126{col 36}{space 2} .8255953{col 47}{space 1}   -0.52{col 56}{space 3}0.606{col 64}{space 4}-2.099437{col 77}{space 3} 1.240411
{txt}{space 13}agesquare {c |}{col 24}{res}{space 2} .0036639{col 36}{space 2} .0071384{col 47}{space 1}    0.51{col 56}{space 3}0.611{col 64}{space 4}-.0107749{col 77}{space 3} .0181028
{txt}{space 19}han {c |}{col 24}{res}{space 2} .0099537{col 36}{space 2} .0104417{col 47}{space 1}    0.95{col 56}{space 3}0.346{col 64}{space 4}-.0111667{col 77}{space 3}  .031074
{txt}{space 13}goodclass {c |}{col 24}{res}{space 2}   .04565{col 36}{space 2} .0249355{col 47}{space 1}    1.83{col 56}{space 3}0.075{col 64}{space 4}-.0047867{col 77}{space 3} .0960868
{txt}{space 14}midclass {c |}{col 24}{res}{space 2} .0222763{col 36}{space 2} .0205612{col 47}{space 1}    1.08{col 56}{space 3}0.285{col 64}{space 4}-.0193126{col 77}{space 3} .0638652
{txt}{space 5}sexratio_1964_pre {c |}{col 24}{res}{space 2}-.0611814{col 36}{space 2} .1653368{col 47}{space 1}   -0.37{col 56}{space 3}0.713{col 64}{space 4}-.3956067{col 77}{space 3} .2732438
{txt}urbanpopratio_1964_pre {c |}{col 24}{res}{space 2} .0073801{col 36}{space 2}  .001674{col 47}{space 1}    4.41{col 56}{space 3}0.000{col 64}{space 4} .0039941{col 77}{space 3} .0107661
{txt}{space 4}qingrebellioncount {c |}{col 24}{res}{space 2} .0081324{col 36}{space 2} .0024446{col 47}{space 1}    3.33{col 56}{space 3}0.002{col 64}{space 4} .0031878{col 77}{space 3}  .013077
{txt}{space 8}popdensity1964 {c |}{col 24}{res}{space 2} .0000769{col 36}{space 2} .0001096{col 47}{space 1}    0.70{col 56}{space 3}0.487{col 64}{space 4}-.0001449{col 77}{space 3} .0002986
{txt}{space 14}lnpergdp {c |}{col 24}{res}{space 2}-.1937095{col 36}{space 2} .0870723{col 47}{space 1}   -2.22{col 56}{space 3}0.032{col 64}{space 4}-.3698299{col 77}{space 3} -.017589
{txt}{space 15}shouzai {c |}{col 24}{res}{space 2}-.0056745{col 36}{space 2} .0099294{col 47}{space 1}   -0.57{col 56}{space 3}0.571{col 64}{space 4}-.0257586{col 77}{space 3} .0144096
{txt}{space 16}extrap {c |}{col 24}{res}{space 2} .0067603{col 36}{space 2} .0279638{col 47}{space 1}    0.24{col 56}{space 3}0.810{col 64}{space 4}-.0498017{col 77}{space 3} .0633223
{txt}{space 19}pmd {c |}{col 24}{res}{space 2} .0014615{col 36}{space 2} .0032059{col 47}{space 1}    0.46{col 56}{space 3}0.651{col 64}{space 4}-.0050231{col 77}{space 3}  .007946
{txt}{space 13}longitude {c |}{col 24}{res}{space 2} -.007566{col 36}{space 2} .0084416{col 47}{space 1}   -0.90{col 56}{space 3}0.376{col 64}{space 4}-.0246407{col 77}{space 3} .0095088
{txt}{space 14}latitude {c |}{col 24}{res}{space 2} .0126798{col 36}{space 2} .0078893{col 47}{space 1}    1.61{col 56}{space 3}0.116{col 64}{space 4}-.0032778{col 77}{space 3} .0286374
{txt}{space 14}resource {c |}{col 24}{res}{space 2} .0078739{col 36}{space 2}  .015806{col 47}{space 1}    0.50{col 56}{space 3}0.621{col 64}{space 4}-.0240968{col 77}{space 3} .0398446
{txt}{space 16}colony {c |}{col 24}{res}{space 2}-.0959078{col 36}{space 2} .0284057{col 47}{space 1}   -3.38{col 56}{space 3}0.002{col 64}{space 4}-.1533637{col 77}{space 3}-.0384519
{txt}{space 16}suit_m {c |}{col 24}{res}{space 2} .0522581{col 36}{space 2}  .024833{col 47}{space 1}    2.10{col 56}{space 3}0.042{col 64}{space 4} .0020287{col 77}{space 3} .1024875
{txt}{space 5}distancetobeijing {c |}{col 24}{res}{space 2}-.0000578{col 36}{space 2} .0000978{col 47}{space 1}   -0.59{col 56}{space 3}0.558{col 64}{space 4}-.0002557{col 77}{space 3} .0001401
{txt}{space 11}riverlength {c |}{col 24}{res}{space 2}  .000071{col 36}{space 2} .0001416{col 47}{space 1}    0.50{col 56}{space 3}0.619{col 64}{space 4}-.0002155{col 77}{space 3} .0003575
{txt}{space 5}log_accountlength {c |}{col 24}{res}{space 2}-.0233896{col 36}{space 2}  .022636{col 47}{space 1}   -1.03{col 56}{space 3}0.308{col 64}{space 4}-.0691753{col 77}{space 3} .0223961
{txt}{space 13}_Iprov_15 {c |}{col 24}{res}{space 2} .0750927{col 36}{space 2} .1430898{col 47}{space 1}    0.52{col 56}{space 3}0.603{col 64}{space 4}-.2143337{col 77}{space 3} .3645192
{txt}{space 13}_Iprov_21 {c |}{col 24}{res}{space 2} .1251611{col 36}{space 2} .0537063{col 47}{space 1}    2.33{col 56}{space 3}0.025{col 64}{space 4} .0165298{col 77}{space 3} .2337925
{txt}{space 13}_Iprov_22 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_23 {c |}{col 24}{res}{space 2} .0833621{col 36}{space 2} .1628952{col 47}{space 1}    0.51{col 56}{space 3}0.612{col 64}{space 4}-.2461246{col 77}{space 3} .4128488
{txt}{space 13}_Iprov_31 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_32 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_33 {c |}{col 24}{res}{space 2} .2126184{col 36}{space 2} .1555771{col 47}{space 1}    1.37{col 56}{space 3}0.180{col 64}{space 4} -.102066{col 77}{space 3} .5273028
{txt}{space 13}_Iprov_34 {c |}{col 24}{res}{space 2} .1331334{col 36}{space 2} .1122041{col 47}{space 1}    1.19{col 56}{space 3}0.243{col 64}{space 4}-.0938208{col 77}{space 3} .3600875
{txt}{space 13}_Iprov_35 {c |}{col 24}{res}{space 2}  .169554{col 36}{space 2}   .08199{col 47}{space 1}    2.07{col 56}{space 3}0.045{col 64}{space 4} .0037136{col 77}{space 3} .3353943
{txt}{space 13}_Iprov_36 {c |}{col 24}{res}{space 2} .0663556{col 36}{space 2} .0749873{col 47}{space 1}    0.88{col 56}{space 3}0.382{col 64}{space 4}-.0853205{col 77}{space 3} .2180317
{txt}{space 13}_Iprov_37 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_41 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_42 {c |}{col 24}{res}{space 2} .1243179{col 36}{space 2} .0732856{col 47}{space 1}    1.70{col 56}{space 3}0.098{col 64}{space 4}-.0239161{col 77}{space 3}  .272552
{txt}{space 13}_Iprov_43 {c |}{col 24}{res}{space 2}-.0011946{col 36}{space 2} .0414234{col 47}{space 1}   -0.03{col 56}{space 3}0.977{col 64}{space 4}-.0849813{col 77}{space 3} .0825921
{txt}{space 13}_Iprov_44 {c |}{col 24}{res}{space 2} .2332242{col 36}{space 2} .0962418{col 47}{space 1}    2.42{col 56}{space 3}0.020{col 64}{space 4} .0385569{col 77}{space 3} .4278916
{txt}{space 13}_Iprov_45 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_50 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_51 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_52 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_53 {c |}{col 24}{res}{space 2} .1399049{col 36}{space 2} .0714574{col 47}{space 1}    1.96{col 56}{space 3}0.057{col 64}{space 4}-.0046314{col 77}{space 3} .2844411
{txt}{space 13}_Iprov_61 {c |}{col 24}{res}{space 2} .0805171{col 36}{space 2} .0242891{col 47}{space 1}    3.31{col 56}{space 3}0.002{col 64}{space 4} .0313878{col 77}{space 3} .1296463
{txt}{space 13}_Iprov_62 {c |}{col 24}{res}{space 2} .0145141{col 36}{space 2} .1182962{col 47}{space 1}    0.12{col 56}{space 3}0.903{col 64}{space 4}-.2247626{col 77}{space 3} .2537909
{txt}{space 13}_Iprov_64 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_65 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 17}_cons {c |}{col 24}{res}{space 2} 14.07514{col 36}{space 2} 22.63458{col 47}{space 1}    0.62{col 56}{space 3}0.538{col 64}{space 4}-31.70763{col 77}{space 3}  59.8579
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. estimates store table4_1_8
{txt}
{com}. 
. esttab table4_1_1 table4_1_2 table4_1_3 table4_1_4 table4_1_5 table4_1_6 table4_1_7 table4_1_8 using table4_1.csv, ///
> collabels(none)  cells(b(star fmt(3)) se(par)) staraux star(* 0.10 ** 0.05 *** 0.01)  replace ///
> stats(N r2, fmt(0 3)  labels(`"N"' `"R2"')) drop(_Iprov*)  title(Table 4.1: OLS Estimates of the Effects of Cultural Revolution Violence on Political Attitudes and Behavior by Sent-Down Experience) 
{res}{txt}(note: file table4_1.csv not found)
(output written to {browse  `"table4_1.csv"'})

{com}. 
{txt}end of do-file

{com}. do "/var/folders/h7/yy_9_pys1zvgh1bl431b90_m0000gn/T//SD21778.000000"
{txt}
{com}. 
. ****************
. *Table 4.2*
. ****************
. 
. local individual_controls "male age agesquare han goodclass midclass"
{txt}
{com}. local prefectural_controls "sexratio_1964_pre urbanpopratio_1964_pre qingrebellion popdensity1964 lnpergdp shouzai extrap pmd longitude latitude resource colony suit_m distancetobeijing riverlength"
{txt}
{com}. local minimum_controls "log_accountlength i.prov"
{txt}
{com}. 
. xi:reg trustcentralhead CRdeath_pop_county `individual_controls' `prefectural_controls' `minimum_controls' if local==1,cl(countyid)
{txt}i.prov{col 19}_Iprov_13-65{col 39}(naturally coded; _Iprov_13 omitted)
note: _Iprov_22 omitted because of collinearity
note: _Iprov_23 omitted because of collinearity
note: _Iprov_31 omitted because of collinearity
note: _Iprov_32 omitted because of collinearity
note: _Iprov_37 omitted because of collinearity
note: _Iprov_41 omitted because of collinearity
note: _Iprov_45 omitted because of collinearity
note: _Iprov_50 omitted because of collinearity
note: _Iprov_52 omitted because of collinearity
note: _Iprov_64 omitted because of collinearity
note: _Iprov_65 omitted because of collinearity

Linear regression                               Number of obs     = {res}     1,296
                                                {txt}F(36, 52)         =  {res}  1379.34
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1204
                                                {txt}Root MSE          =    {res} .75363

{txt}{ralign 88:(Std. Err. adjusted for {res:53} clusters in countyid)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}      trustcentralhead{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}CRdeath_pop_county {c |}{col 24}{res}{space 2}-.1582317{col 36}{space 2} .0286049{col 47}{space 1}   -5.53{col 56}{space 3}0.000{col 64}{space 4}-.2156316{col 77}{space 3}-.1008317
{txt}{space 18}male {c |}{col 24}{res}{space 2}-.0418736{col 36}{space 2} .0487021{col 47}{space 1}   -0.86{col 56}{space 3}0.394{col 64}{space 4}-.1396015{col 77}{space 3} .0558543
{txt}{space 19}age {c |}{col 24}{res}{space 2} .0041363{col 36}{space 2} .0080286{col 47}{space 1}    0.52{col 56}{space 3}0.609{col 64}{space 4}-.0119743{col 77}{space 3} .0202468
{txt}{space 13}agesquare {c |}{col 24}{res}{space 2} .0000162{col 36}{space 2} .0000777{col 47}{space 1}    0.21{col 56}{space 3}0.836{col 64}{space 4}-.0001398{col 77}{space 3} .0001721
{txt}{space 19}han {c |}{col 24}{res}{space 2} .0180851{col 36}{space 2} .0850386{col 47}{space 1}    0.21{col 56}{space 3}0.832{col 64}{space 4}-.1525573{col 77}{space 3} .1887275
{txt}{space 13}goodclass {c |}{col 24}{res}{space 2} .0358128{col 36}{space 2} .0853388{col 47}{space 1}    0.42{col 56}{space 3}0.676{col 64}{space 4}-.1354321{col 77}{space 3} .2070576
{txt}{space 14}midclass {c |}{col 24}{res}{space 2} .0543395{col 36}{space 2} .1002776{col 47}{space 1}    0.54{col 56}{space 3}0.590{col 64}{space 4}-.1468823{col 77}{space 3} .2555612
{txt}{space 5}sexratio_1964_pre {c |}{col 24}{res}{space 2}-3.969053{col 36}{space 2} .8985686{col 47}{space 1}   -4.42{col 56}{space 3}0.000{col 64}{space 4}-5.772163{col 77}{space 3}-2.165943
{txt}urbanpopratio_1964_pre {c |}{col 24}{res}{space 2} .0513927{col 36}{space 2} .0117315{col 47}{space 1}    4.38{col 56}{space 3}0.000{col 64}{space 4} .0278518{col 77}{space 3} .0749336
{txt}{space 4}qingrebellioncount {c |}{col 24}{res}{space 2} .0232143{col 36}{space 2} .0125987{col 47}{space 1}    1.84{col 56}{space 3}0.071{col 64}{space 4}-.0020668{col 77}{space 3} .0484954
{txt}{space 8}popdensity1964 {c |}{col 24}{res}{space 2} .0005326{col 36}{space 2} .0002799{col 47}{space 1}    1.90{col 56}{space 3}0.063{col 64}{space 4} -.000029{col 77}{space 3} .0010943
{txt}{space 14}lnpergdp {c |}{col 24}{res}{space 2}-.6835453{col 36}{space 2} .4168729{col 47}{space 1}   -1.64{col 56}{space 3}0.107{col 64}{space 4}-1.520062{col 77}{space 3} .1529714
{txt}{space 15}shouzai {c |}{col 24}{res}{space 2}-.2285019{col 36}{space 2} .0591292{col 47}{space 1}   -3.86{col 56}{space 3}0.000{col 64}{space 4}-.3471533{col 77}{space 3}-.1098504
{txt}{space 16}extrap {c |}{col 24}{res}{space 2} .0746425{col 36}{space 2} .0329786{col 47}{space 1}    2.26{col 56}{space 3}0.028{col 64}{space 4}  .008466{col 77}{space 3}  .140819
{txt}{space 19}pmd {c |}{col 24}{res}{space 2} .0256542{col 36}{space 2} .0045977{col 47}{space 1}    5.58{col 56}{space 3}0.000{col 64}{space 4} .0164282{col 77}{space 3} .0348801
{txt}{space 13}longitude {c |}{col 24}{res}{space 2}-.1235026{col 36}{space 2} .0311812{col 47}{space 1}   -3.96{col 56}{space 3}0.000{col 64}{space 4}-.1860723{col 77}{space 3} -.060933
{txt}{space 14}latitude {c |}{col 24}{res}{space 2}-.0060039{col 36}{space 2} .0478926{col 47}{space 1}   -0.13{col 56}{space 3}0.901{col 64}{space 4}-.1021073{col 77}{space 3} .0900996
{txt}{space 14}resource {c |}{col 24}{res}{space 2} .1015818{col 36}{space 2}   .08463{col 47}{space 1}    1.20{col 56}{space 3}0.235{col 64}{space 4}-.0682407{col 77}{space 3} .2714042
{txt}{space 16}colony {c |}{col 24}{res}{space 2} -.451285{col 36}{space 2} .1366494{col 47}{space 1}   -3.30{col 56}{space 3}0.002{col 64}{space 4} -.725492{col 77}{space 3}-.1770779
{txt}{space 16}suit_m {c |}{col 24}{res}{space 2} .1918699{col 36}{space 2} .0857908{col 47}{space 1}    2.24{col 56}{space 3}0.030{col 64}{space 4} .0197179{col 77}{space 3} .3640218
{txt}{space 5}distancetobeijing {c |}{col 24}{res}{space 2} -.001457{col 36}{space 2} .0004674{col 47}{space 1}   -3.12{col 56}{space 3}0.003{col 64}{space 4}-.0023949{col 77}{space 3}-.0005191
{txt}{space 11}riverlength {c |}{col 24}{res}{space 2} .0033512{col 36}{space 2} .0007381{col 47}{space 1}    4.54{col 56}{space 3}0.000{col 64}{space 4} .0018701{col 77}{space 3} .0048324
{txt}{space 5}log_accountlength {c |}{col 24}{res}{space 2}-.0681798{col 36}{space 2} .0815492{col 47}{space 1}   -0.84{col 56}{space 3}0.407{col 64}{space 4}-.2318203{col 77}{space 3} .0954607
{txt}{space 13}_Iprov_15 {c |}{col 24}{res}{space 2} .5260456{col 36}{space 2} .1006448{col 47}{space 1}    5.23{col 56}{space 3}0.000{col 64}{space 4}  .324087{col 77}{space 3} .7280043
{txt}{space 13}_Iprov_21 {c |}{col 24}{res}{space 2}-.9958671{col 36}{space 2} .4199951{col 47}{space 1}   -2.37{col 56}{space 3}0.021{col 64}{space 4}-1.838649{col 77}{space 3}-.1530853
{txt}{space 13}_Iprov_22 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_23 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_31 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_32 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_33 {c |}{col 24}{res}{space 2} 1.092382{col 36}{space 2} .4905507{col 47}{space 1}    2.23{col 56}{space 3}0.030{col 64}{space 4} .1080197{col 77}{space 3} 2.076744
{txt}{space 13}_Iprov_34 {c |}{col 24}{res}{space 2} .9730847{col 36}{space 2} .2961963{col 47}{space 1}    3.29{col 56}{space 3}0.002{col 64}{space 4} .3787233{col 77}{space 3} 1.567446
{txt}{space 13}_Iprov_35 {c |}{col 24}{res}{space 2}-1.017897{col 36}{space 2} .5087869{col 47}{space 1}   -2.00{col 56}{space 3}0.051{col 64}{space 4}-2.038853{col 77}{space 3} .0030583
{txt}{space 13}_Iprov_36 {c |}{col 24}{res}{space 2}-1.289425{col 36}{space 2} .4625723{col 47}{space 1}   -2.79{col 56}{space 3}0.007{col 64}{space 4}-2.217644{col 77}{space 3}-.3612059
{txt}{space 13}_Iprov_37 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_41 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_42 {c |}{col 24}{res}{space 2} .0208941{col 36}{space 2} .2481932{col 47}{space 1}    0.08{col 56}{space 3}0.933{col 64}{space 4} -.477142{col 77}{space 3} .5189302
{txt}{space 13}_Iprov_43 {c |}{col 24}{res}{space 2}-.7107394{col 36}{space 2} .2921647{col 47}{space 1}   -2.43{col 56}{space 3}0.018{col 64}{space 4}-1.297011{col 77}{space 3} -.124468
{txt}{space 13}_Iprov_44 {c |}{col 24}{res}{space 2} .6273353{col 36}{space 2} .5329603{col 47}{space 1}    1.18{col 56}{space 3}0.245{col 64}{space 4}-.4421277{col 77}{space 3} 1.696798
{txt}{space 13}_Iprov_45 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_50 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_51 {c |}{col 24}{res}{space 2}-1.964995{col 36}{space 2} .5357898{col 47}{space 1}   -3.67{col 56}{space 3}0.001{col 64}{space 4}-3.040136{col 77}{space 3}-.8898543
{txt}{space 13}_Iprov_52 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_53 {c |}{col 24}{res}{space 2}-2.034332{col 36}{space 2} .6093066{col 47}{space 1}   -3.34{col 56}{space 3}0.002{col 64}{space 4}-3.256995{col 77}{space 3}-.8116692
{txt}{space 13}_Iprov_61 {c |}{col 24}{res}{space 2}-1.329011{col 36}{space 2} .3271266{col 47}{space 1}   -4.06{col 56}{space 3}0.000{col 64}{space 4}-1.985439{col 77}{space 3}-.6725838
{txt}{space 13}_Iprov_62 {c |}{col 24}{res}{space 2}-2.669584{col 36}{space 2} .7241829{col 47}{space 1}   -3.69{col 56}{space 3}0.001{col 64}{space 4}-4.122764{col 77}{space 3}-1.216405
{txt}{space 13}_Iprov_64 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_65 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 17}_cons {c |}{col 24}{res}{space 2} 28.12217{col 36}{space 2} 6.267811{col 47}{space 1}    4.49{col 56}{space 3}0.000{col 64}{space 4} 15.54489{col 77}{space 3} 40.69945
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. estimates store table4_2_1
{txt}
{com}. 
. xi:reg lackingdemocracy CRdeath_pop_county `individual_controls' `prefectural_controls' `minimum_controls' if local==1,cl(countyid)
{txt}i.prov{col 19}_Iprov_13-65{col 39}(naturally coded; _Iprov_13 omitted)
note: _Iprov_22 omitted because of collinearity
note: _Iprov_23 omitted because of collinearity
note: _Iprov_31 omitted because of collinearity
note: _Iprov_32 omitted because of collinearity
note: _Iprov_37 omitted because of collinearity
note: _Iprov_41 omitted because of collinearity
note: _Iprov_45 omitted because of collinearity
note: _Iprov_50 omitted because of collinearity
note: _Iprov_52 omitted because of collinearity
note: _Iprov_64 omitted because of collinearity
note: _Iprov_65 omitted because of collinearity

Linear regression                               Number of obs     = {res}     1,201
                                                {txt}{help j_robustsingular:F(35, 52) }        =  {res}        .
                                                {txt}Prob > F          = {res}         .
                                                {txt}R-squared         = {res}    0.1217
                                                {txt}Root MSE          =    {res} 2.6494

{txt}{ralign 88:(Std. Err. adjusted for {res:53} clusters in countyid)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}      lackingdemocracy{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}CRdeath_pop_county {c |}{col 24}{res}{space 2}  .777506{col 36}{space 2}   .14052{col 47}{space 1}    5.53{col 56}{space 3}0.000{col 64}{space 4} .4955319{col 77}{space 3}  1.05948
{txt}{space 18}male {c |}{col 24}{res}{space 2} .1228079{col 36}{space 2} .1645307{col 47}{space 1}    0.75{col 56}{space 3}0.459{col 64}{space 4}-.2073471{col 77}{space 3} .4529629
{txt}{space 19}age {c |}{col 24}{res}{space 2}-.0547342{col 36}{space 2} .0265189{col 47}{space 1}   -2.06{col 56}{space 3}0.044{col 64}{space 4}-.1079483{col 77}{space 3}-.0015201
{txt}{space 13}agesquare {c |}{col 24}{res}{space 2} .0003682{col 36}{space 2} .0002581{col 47}{space 1}    1.43{col 56}{space 3}0.160{col 64}{space 4}-.0001498{col 77}{space 3} .0008862
{txt}{space 19}han {c |}{col 24}{res}{space 2}-.2500609{col 36}{space 2}  .339079{col 47}{space 1}   -0.74{col 56}{space 3}0.464{col 64}{space 4}-.9304727{col 77}{space 3}  .430351
{txt}{space 13}goodclass {c |}{col 24}{res}{space 2}  -.12762{col 36}{space 2} .4447626{col 47}{space 1}   -0.29{col 56}{space 3}0.775{col 64}{space 4}-1.020101{col 77}{space 3} .7648614
{txt}{space 14}midclass {c |}{col 24}{res}{space 2}-.2071856{col 36}{space 2} .4383157{col 47}{space 1}   -0.47{col 56}{space 3}0.638{col 64}{space 4} -1.08673{col 77}{space 3} .6723593
{txt}{space 5}sexratio_1964_pre {c |}{col 24}{res}{space 2} 20.96435{col 36}{space 2} 3.931518{col 47}{space 1}    5.33{col 56}{space 3}0.000{col 64}{space 4} 13.07518{col 77}{space 3} 28.85352
{txt}urbanpopratio_1964_pre {c |}{col 24}{res}{space 2}-.1749593{col 36}{space 2} .0422128{col 47}{space 1}   -4.14{col 56}{space 3}0.000{col 64}{space 4}-.2596655{col 77}{space 3}-.0902532
{txt}{space 4}qingrebellioncount {c |}{col 24}{res}{space 2} .0339345{col 36}{space 2} .0519959{col 47}{space 1}    0.65{col 56}{space 3}0.517{col 64}{space 4}-.0704028{col 77}{space 3} .1382719
{txt}{space 8}popdensity1964 {c |}{col 24}{res}{space 2}-.0012875{col 36}{space 2} .0014744{col 47}{space 1}   -0.87{col 56}{space 3}0.387{col 64}{space 4} -.004246{col 77}{space 3}  .001671
{txt}{space 14}lnpergdp {c |}{col 24}{res}{space 2}    4.683{col 36}{space 2} 1.791369{col 47}{space 1}    2.61{col 56}{space 3}0.012{col 64}{space 4} 1.088355{col 77}{space 3} 8.277645
{txt}{space 15}shouzai {c |}{col 24}{res}{space 2} 1.065826{col 36}{space 2} .2880464{col 47}{space 1}    3.70{col 56}{space 3}0.001{col 64}{space 4} .4878184{col 77}{space 3} 1.643833
{txt}{space 16}extrap {c |}{col 24}{res}{space 2}-.2756618{col 36}{space 2} .1004971{col 47}{space 1}   -2.74{col 56}{space 3}0.008{col 64}{space 4}-.4773241{col 77}{space 3}-.0739995
{txt}{space 19}pmd {c |}{col 24}{res}{space 2}-.0790031{col 36}{space 2} .0248805{col 47}{space 1}   -3.18{col 56}{space 3}0.003{col 64}{space 4}-.1289295{col 77}{space 3}-.0290768
{txt}{space 13}longitude {c |}{col 24}{res}{space 2}  .681015{col 36}{space 2} .1669453{col 47}{space 1}    4.08{col 56}{space 3}0.000{col 64}{space 4} .3460148{col 77}{space 3} 1.016015
{txt}{space 14}latitude {c |}{col 24}{res}{space 2}-.0891061{col 36}{space 2} .1829183{col 47}{space 1}   -0.49{col 56}{space 3}0.628{col 64}{space 4}-.4561584{col 77}{space 3} .2779462
{txt}{space 14}resource {c |}{col 24}{res}{space 2}-.8262316{col 36}{space 2} .2525645{col 47}{space 1}   -3.27{col 56}{space 3}0.002{col 64}{space 4}-1.333039{col 77}{space 3}-.3194239
{txt}{space 16}colony {c |}{col 24}{res}{space 2} .6927194{col 36}{space 2} .6474459{col 47}{space 1}    1.07{col 56}{space 3}0.290{col 64}{space 4}-.6064759{col 77}{space 3} 1.991915
{txt}{space 16}suit_m {c |}{col 24}{res}{space 2} -1.40974{col 36}{space 2} .4745911{col 47}{space 1}   -2.97{col 56}{space 3}0.004{col 64}{space 4}-2.362077{col 77}{space 3}-.4574032
{txt}{space 5}distancetobeijing {c |}{col 24}{res}{space 2} .0064516{col 36}{space 2} .0020229{col 47}{space 1}    3.19{col 56}{space 3}0.002{col 64}{space 4} .0023924{col 77}{space 3} .0105109
{txt}{space 11}riverlength {c |}{col 24}{res}{space 2} -.012293{col 36}{space 2} .0030222{col 47}{space 1}   -4.07{col 56}{space 3}0.000{col 64}{space 4}-.0183576{col 77}{space 3}-.0062285
{txt}{space 5}log_accountlength {c |}{col 24}{res}{space 2} 1.000495{col 36}{space 2} .5349726{col 47}{space 1}    1.87{col 56}{space 3}0.067{col 64}{space 4}-.0730061{col 77}{space 3} 2.073996
{txt}{space 13}_Iprov_15 {c |}{col 24}{res}{space 2}-2.173781{col 36}{space 2} .4576891{col 47}{space 1}   -4.75{col 56}{space 3}0.000{col 64}{space 4}-3.092201{col 77}{space 3} -1.25536
{txt}{space 13}_Iprov_21 {c |}{col 24}{res}{space 2} 1.086631{col 36}{space 2} 1.364549{col 47}{space 1}    0.80{col 56}{space 3}0.429{col 64}{space 4}-1.651537{col 77}{space 3}   3.8248
{txt}{space 13}_Iprov_22 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_23 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_31 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_32 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_33 {c |}{col 24}{res}{space 2}-6.506405{col 36}{space 2} 2.029385{col 47}{space 1}   -3.21{col 56}{space 3}0.002{col 64}{space 4}-10.57866{col 77}{space 3}-2.434146
{txt}{space 13}_Iprov_34 {c |}{col 24}{res}{space 2}-3.335197{col 36}{space 2} .9734901{col 47}{space 1}   -3.43{col 56}{space 3}0.001{col 64}{space 4}-5.288648{col 77}{space 3}-1.381747
{txt}{space 13}_Iprov_35 {c |}{col 24}{res}{space 2} 3.105766{col 36}{space 2}  1.91144{col 47}{space 1}    1.62{col 56}{space 3}0.110{col 64}{space 4}-.7298195{col 77}{space 3} 6.941352
{txt}{space 13}_Iprov_36 {c |}{col 24}{res}{space 2} 5.813602{col 36}{space 2} 1.698212{col 47}{space 1}    3.42{col 56}{space 3}0.001{col 64}{space 4} 2.405891{col 77}{space 3} 9.221314
{txt}{space 13}_Iprov_37 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_41 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_42 {c |}{col 24}{res}{space 2} 1.775725{col 36}{space 2} .7575375{col 47}{space 1}    2.34{col 56}{space 3}0.023{col 64}{space 4}  .255615{col 77}{space 3} 3.295836
{txt}{space 13}_Iprov_43 {c |}{col 24}{res}{space 2} 4.475936{col 36}{space 2} .9627834{col 47}{space 1}    4.65{col 56}{space 3}0.000{col 64}{space 4} 2.543969{col 77}{space 3} 6.407902
{txt}{space 13}_Iprov_44 {c |}{col 24}{res}{space 2}-1.691485{col 36}{space 2} 2.127635{col 47}{space 1}   -0.80{col 56}{space 3}0.430{col 64}{space 4}-5.960898{col 77}{space 3} 2.577928
{txt}{space 13}_Iprov_45 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_50 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_51 {c |}{col 24}{res}{space 2} 11.33756{col 36}{space 2} 2.627002{col 47}{space 1}    4.32{col 56}{space 3}0.000{col 64}{space 4} 6.066099{col 77}{space 3} 16.60903
{txt}{space 13}_Iprov_52 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_53 {c |}{col 24}{res}{space 2} 10.36542{col 36}{space 2} 2.510826{col 47}{space 1}    4.13{col 56}{space 3}0.000{col 64}{space 4} 5.327073{col 77}{space 3} 15.40376
{txt}{space 13}_Iprov_61 {c |}{col 24}{res}{space 2} 4.920498{col 36}{space 2} 1.393107{col 47}{space 1}    3.53{col 56}{space 3}0.001{col 64}{space 4} 2.125025{col 77}{space 3} 7.715971
{txt}{space 13}_Iprov_62 {c |}{col 24}{res}{space 2} 11.77204{col 36}{space 2} 3.454818{col 47}{space 1}    3.41{col 56}{space 3}0.001{col 64}{space 4} 4.839437{col 77}{space 3} 18.70464
{txt}{space 13}_Iprov_64 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_65 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 17}_cons {c |}{col 24}{res}{space 2}-138.5221{col 36}{space 2} 32.57749{col 47}{space 1}   -4.25{col 56}{space 3}0.000{col 64}{space 4}-203.8936{col 77}{space 3}-73.15058
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. estimates store table4_2_2
{txt}
{com}. 
. xi:reg lackingfreeexpression CRdeath_pop_county `individual_controls' `prefectural_controls' `minimum_controls' if local==1,cl(countyid)
{txt}i.prov{col 19}_Iprov_13-65{col 39}(naturally coded; _Iprov_13 omitted)
note: _Iprov_22 omitted because of collinearity
note: _Iprov_23 omitted because of collinearity
note: _Iprov_31 omitted because of collinearity
note: _Iprov_32 omitted because of collinearity
note: _Iprov_37 omitted because of collinearity
note: _Iprov_41 omitted because of collinearity
note: _Iprov_45 omitted because of collinearity
note: _Iprov_50 omitted because of collinearity
note: _Iprov_52 omitted because of collinearity
note: _Iprov_64 omitted because of collinearity
note: _Iprov_65 omitted because of collinearity

Linear regression                               Number of obs     = {res}     1,319
                                                {txt}F(36, 52)         =  {res}  1763.55
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.1221
                                                {txt}Root MSE          =    {res} 2.6495

{txt}{ralign 88:(Std. Err. adjusted for {res:53} clusters in countyid)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1} lackingfreeexpression{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}CRdeath_pop_county {c |}{col 24}{res}{space 2}  .413364{col 36}{space 2} .1365729{col 47}{space 1}    3.03{col 56}{space 3}0.004{col 64}{space 4} .1393104{col 77}{space 3} .6874176
{txt}{space 18}male {c |}{col 24}{res}{space 2}-.0598075{col 36}{space 2} .1569212{col 47}{space 1}   -0.38{col 56}{space 3}0.705{col 64}{space 4}-.3746929{col 77}{space 3}  .255078
{txt}{space 19}age {c |}{col 24}{res}{space 2}-.0268114{col 36}{space 2} .0288733{col 47}{space 1}   -0.93{col 56}{space 3}0.357{col 64}{space 4}  -.08475{col 77}{space 3} .0311272
{txt}{space 13}agesquare {c |}{col 24}{res}{space 2} .0001418{col 36}{space 2} .0002804{col 47}{space 1}    0.51{col 56}{space 3}0.615{col 64}{space 4}-.0004209{col 77}{space 3} .0007044
{txt}{space 19}han {c |}{col 24}{res}{space 2}-.4130911{col 36}{space 2} .3585801{col 47}{space 1}   -1.15{col 56}{space 3}0.255{col 64}{space 4}-1.132635{col 77}{space 3} .3064526
{txt}{space 13}goodclass {c |}{col 24}{res}{space 2}-.1653817{col 36}{space 2} .4017168{col 47}{space 1}   -0.41{col 56}{space 3}0.682{col 64}{space 4}-.9714854{col 77}{space 3}  .640722
{txt}{space 14}midclass {c |}{col 24}{res}{space 2}-.0047457{col 36}{space 2} .4148426{col 47}{space 1}   -0.01{col 56}{space 3}0.991{col 64}{space 4}-.8371883{col 77}{space 3} .8276968
{txt}{space 5}sexratio_1964_pre {c |}{col 24}{res}{space 2} 21.16413{col 36}{space 2} 4.871737{col 47}{space 1}    4.34{col 56}{space 3}0.000{col 64}{space 4} 11.38827{col 77}{space 3} 30.93998
{txt}urbanpopratio_1964_pre {c |}{col 24}{res}{space 2}-.0846856{col 36}{space 2} .0366897{col 47}{space 1}   -2.31{col 56}{space 3}0.025{col 64}{space 4}-.1583089{col 77}{space 3}-.0110624
{txt}{space 4}qingrebellioncount {c |}{col 24}{res}{space 2}-.0642362{col 36}{space 2}  .032025{col 47}{space 1}   -2.01{col 56}{space 3}0.050{col 64}{space 4} -.128499{col 77}{space 3} .0000266
{txt}{space 8}popdensity1964 {c |}{col 24}{res}{space 2}-.0024177{col 36}{space 2} .0010689{col 47}{space 1}   -2.26{col 56}{space 3}0.028{col 64}{space 4}-.0045626{col 77}{space 3}-.0002728
{txt}{space 14}lnpergdp {c |}{col 24}{res}{space 2} 2.007085{col 36}{space 2} 1.269275{col 47}{space 1}    1.58{col 56}{space 3}0.120{col 64}{space 4}-.5399005{col 77}{space 3} 4.554071
{txt}{space 15}shouzai {c |}{col 24}{res}{space 2} .9110861{col 36}{space 2} .3586195{col 47}{space 1}    2.54{col 56}{space 3}0.014{col 64}{space 4} .1914635{col 77}{space 3} 1.630709
{txt}{space 16}extrap {c |}{col 24}{res}{space 2}-.2744814{col 36}{space 2} .1004467{col 47}{space 1}   -2.73{col 56}{space 3}0.009{col 64}{space 4}-.4760425{col 77}{space 3}-.0729204
{txt}{space 19}pmd {c |}{col 24}{res}{space 2}-.0682408{col 36}{space 2} .0271169{col 47}{space 1}   -2.52{col 56}{space 3}0.015{col 64}{space 4}-.1226549{col 77}{space 3}-.0138268
{txt}{space 13}longitude {c |}{col 24}{res}{space 2} .3949253{col 36}{space 2} .1436201{col 47}{space 1}    2.75{col 56}{space 3}0.008{col 64}{space 4} .1067305{col 77}{space 3} .6831202
{txt}{space 14}latitude {c |}{col 24}{res}{space 2}-.0486923{col 36}{space 2} .1878129{col 47}{space 1}   -0.26{col 56}{space 3}0.796{col 64}{space 4}-.4255665{col 77}{space 3}  .328182
{txt}{space 14}resource {c |}{col 24}{res}{space 2} -.989057{col 36}{space 2} .3348386{col 47}{space 1}   -2.95{col 56}{space 3}0.005{col 64}{space 4} -1.66096{col 77}{space 3}-.3171542
{txt}{space 16}colony {c |}{col 24}{res}{space 2} 1.901277{col 36}{space 2} .4538104{col 47}{space 1}    4.19{col 56}{space 3}0.000{col 64}{space 4} .9906402{col 77}{space 3} 2.811915
{txt}{space 16}suit_m {c |}{col 24}{res}{space 2}-.5281582{col 36}{space 2} .4415327{col 47}{space 1}   -1.20{col 56}{space 3}0.237{col 64}{space 4}-1.414158{col 77}{space 3} .3578419
{txt}{space 5}distancetobeijing {c |}{col 24}{res}{space 2} .0044886{col 36}{space 2} .0027239{col 47}{space 1}    1.65{col 56}{space 3}0.105{col 64}{space 4}-.0009773{col 77}{space 3} .0099546
{txt}{space 11}riverlength {c |}{col 24}{res}{space 2} .0001622{col 36}{space 2} .0026697{col 47}{space 1}    0.06{col 56}{space 3}0.952{col 64}{space 4} -.005195{col 77}{space 3} .0055194
{txt}{space 5}log_accountlength {c |}{col 24}{res}{space 2} .0300529{col 36}{space 2} .3373163{col 47}{space 1}    0.09{col 56}{space 3}0.929{col 64}{space 4}-.6468219{col 77}{space 3} .7069276
{txt}{space 13}_Iprov_15 {c |}{col 24}{res}{space 2}-.9056759{col 36}{space 2} .4966265{col 47}{space 1}   -1.82{col 56}{space 3}0.074{col 64}{space 4} -1.90223{col 77}{space 3} .0908781
{txt}{space 13}_Iprov_21 {c |}{col 24}{res}{space 2} 3.815911{col 36}{space 2} 1.595856{col 47}{space 1}    2.39{col 56}{space 3}0.020{col 64}{space 4} .6135913{col 77}{space 3} 7.018231
{txt}{space 13}_Iprov_22 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_23 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_31 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_32 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_33 {c |}{col 24}{res}{space 2}-4.730497{col 36}{space 2} 1.651426{col 47}{space 1}   -2.86{col 56}{space 3}0.006{col 64}{space 4}-8.044325{col 77}{space 3}-1.416668
{txt}{space 13}_Iprov_34 {c |}{col 24}{res}{space 2}-3.992449{col 36}{space 2} .8947857{col 47}{space 1}   -4.46{col 56}{space 3}0.000{col 64}{space 4}-5.787968{col 77}{space 3}-2.196931
{txt}{space 13}_Iprov_35 {c |}{col 24}{res}{space 2} 5.507755{col 36}{space 2} 2.436102{col 47}{space 1}    2.26{col 56}{space 3}0.028{col 64}{space 4} .6193597{col 77}{space 3} 10.39615
{txt}{space 13}_Iprov_36 {c |}{col 24}{res}{space 2} 4.636617{col 36}{space 2} 2.210255{col 47}{space 1}    2.10{col 56}{space 3}0.041{col 64}{space 4} .2014172{col 77}{space 3} 9.071818
{txt}{space 13}_Iprov_37 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_41 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_42 {c |}{col 24}{res}{space 2} 1.036772{col 36}{space 2} 1.009759{col 47}{space 1}    1.03{col 56}{space 3}0.309{col 64}{space 4}-.9894565{col 77}{space 3} 3.063001
{txt}{space 13}_Iprov_43 {c |}{col 24}{res}{space 2} 2.471841{col 36}{space 2} 1.255851{col 47}{space 1}    1.97{col 56}{space 3}0.054{col 64}{space 4}-.0482083{col 77}{space 3}  4.99189
{txt}{space 13}_Iprov_44 {c |}{col 24}{res}{space 2} .3279789{col 36}{space 2} 1.511504{col 47}{space 1}    0.22{col 56}{space 3}0.829{col 64}{space 4}-2.705075{col 77}{space 3} 3.361033
{txt}{space 13}_Iprov_45 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_50 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_51 {c |}{col 24}{res}{space 2} 8.881572{col 36}{space 2} 2.989829{col 47}{space 1}    2.97{col 56}{space 3}0.004{col 64}{space 4} 2.882042{col 77}{space 3}  14.8811
{txt}{space 13}_Iprov_52 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_53 {c |}{col 24}{res}{space 2} 9.969601{col 36}{space 2} 3.001982{col 47}{space 1}    3.32{col 56}{space 3}0.002{col 64}{space 4} 3.945683{col 77}{space 3} 15.99352
{txt}{space 13}_Iprov_61 {c |}{col 24}{res}{space 2} 4.567443{col 36}{space 2} 1.631512{col 47}{space 1}    2.80{col 56}{space 3}0.007{col 64}{space 4} 1.293575{col 77}{space 3} 7.841312
{txt}{space 13}_Iprov_62 {c |}{col 24}{res}{space 2} 9.429206{col 36}{space 2} 3.764013{col 47}{space 1}    2.51{col 56}{space 3}0.015{col 64}{space 4} 1.876161{col 77}{space 3} 16.98225
{txt}{space 13}_Iprov_64 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_65 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 17}_cons {c |}{col 24}{res}{space 2}-85.22452{col 36}{space 2}  31.4634{col 47}{space 1}   -2.71{col 56}{space 3}0.009{col 64}{space 4}-148.3604{col 77}{space 3}-22.08859
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. estimates store table4_2_3
{txt}
{com}. 
. xi:reg everprotested CRdeath_pop_county `individual_controls' `prefectural_controls' `minimum_controls' if local==1,cl(countyid)
{txt}i.prov{col 19}_Iprov_13-65{col 39}(naturally coded; _Iprov_13 omitted)
note: _Iprov_22 omitted because of collinearity
note: _Iprov_23 omitted because of collinearity
note: _Iprov_31 omitted because of collinearity
note: _Iprov_32 omitted because of collinearity
note: _Iprov_37 omitted because of collinearity
note: _Iprov_41 omitted because of collinearity
note: _Iprov_45 omitted because of collinearity
note: _Iprov_50 omitted because of collinearity
note: _Iprov_52 omitted because of collinearity
note: _Iprov_64 omitted because of collinearity
note: _Iprov_65 omitted because of collinearity

Linear regression                               Number of obs     = {res}     1,461
                                                {txt}F(36, 52)         =  {res}    43.46
                                                {txt}Prob > F          = {res}    0.0000
                                                {txt}R-squared         = {res}    0.0215
                                                {txt}Root MSE          =    {res} .09761

{txt}{ralign 88:(Std. Err. adjusted for {res:53} clusters in countyid)}
{hline 23}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 24}{c |}{col 36}    Robust
{col 1}         everprotested{col 24}{c |}      Coef.{col 36}   Std. Err.{col 48}      t{col 56}   P>|t|{col 64}     [95% Con{col 77}f. Interval]
{hline 23}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}CRdeath_pop_county {c |}{col 24}{res}{space 2}-.0052716{col 36}{space 2} .0019249{col 47}{space 1}   -2.74{col 56}{space 3}0.008{col 64}{space 4}-.0091341{col 77}{space 3}-.0014091
{txt}{space 18}male {c |}{col 24}{res}{space 2} .0130822{col 36}{space 2} .0042718{col 47}{space 1}    3.06{col 56}{space 3}0.003{col 64}{space 4} .0045101{col 77}{space 3} .0216543
{txt}{space 19}age {c |}{col 24}{res}{space 2}-.0010855{col 36}{space 2} .0009602{col 47}{space 1}   -1.13{col 56}{space 3}0.263{col 64}{space 4}-.0030122{col 77}{space 3} .0008412
{txt}{space 13}agesquare {c |}{col 24}{res}{space 2} .0000114{col 36}{space 2} 9.35e-06{col 47}{space 1}    1.22{col 56}{space 3}0.228{col 64}{space 4}-7.36e-06{col 77}{space 3} .0000301
{txt}{space 19}han {c |}{col 24}{res}{space 2} .0097868{col 36}{space 2}  .004169{col 47}{space 1}    2.35{col 56}{space 3}0.023{col 64}{space 4} .0014211{col 77}{space 3} .0181526
{txt}{space 13}goodclass {c |}{col 24}{res}{space 2}-.0055758{col 36}{space 2} .0191571{col 47}{space 1}   -0.29{col 56}{space 3}0.772{col 64}{space 4}-.0440173{col 77}{space 3} .0328656
{txt}{space 14}midclass {c |}{col 24}{res}{space 2}-.0065543{col 36}{space 2} .0201439{col 47}{space 1}   -0.33{col 56}{space 3}0.746{col 64}{space 4} -.046976{col 77}{space 3} .0338674
{txt}{space 5}sexratio_1964_pre {c |}{col 24}{res}{space 2}-.1140315{col 36}{space 2} .0548055{col 47}{space 1}   -2.08{col 56}{space 3}0.042{col 64}{space 4}-.2240067{col 77}{space 3}-.0040562
{txt}urbanpopratio_1964_pre {c |}{col 24}{res}{space 2} .0010493{col 36}{space 2}  .000644{col 47}{space 1}    1.63{col 56}{space 3}0.109{col 64}{space 4}-.0002429{col 77}{space 3} .0023416
{txt}{space 4}qingrebellioncount {c |}{col 24}{res}{space 2}-.0013072{col 36}{space 2} .0007591{col 47}{space 1}   -1.72{col 56}{space 3}0.091{col 64}{space 4}-.0028304{col 77}{space 3}  .000216
{txt}{space 8}popdensity1964 {c |}{col 24}{res}{space 2}-.0000204{col 36}{space 2} .0000222{col 47}{space 1}   -0.92{col 56}{space 3}0.363{col 64}{space 4} -.000065{col 77}{space 3} .0000242
{txt}{space 14}lnpergdp {c |}{col 24}{res}{space 2}-.0575753{col 36}{space 2}  .025146{col 47}{space 1}   -2.29{col 56}{space 3}0.026{col 64}{space 4}-.1080345{col 77}{space 3}-.0071162
{txt}{space 15}shouzai {c |}{col 24}{res}{space 2}-.0008752{col 36}{space 2} .0038102{col 47}{space 1}   -0.23{col 56}{space 3}0.819{col 64}{space 4} -.008521{col 77}{space 3} .0067706
{txt}{space 16}extrap {c |}{col 24}{res}{space 2}-.0015113{col 36}{space 2} .0027009{col 47}{space 1}   -0.56{col 56}{space 3}0.578{col 64}{space 4}-.0069312{col 77}{space 3} .0039085
{txt}{space 19}pmd {c |}{col 24}{res}{space 2}-.0004796{col 36}{space 2} .0003627{col 47}{space 1}   -1.32{col 56}{space 3}0.192{col 64}{space 4}-.0012075{col 77}{space 3} .0002483
{txt}{space 13}longitude {c |}{col 24}{res}{space 2}-.0063709{col 36}{space 2} .0020577{col 47}{space 1}   -3.10{col 56}{space 3}0.003{col 64}{space 4}   -.0105{col 77}{space 3}-.0022418
{txt}{space 14}latitude {c |}{col 24}{res}{space 2} .0105212{col 36}{space 2} .0032987{col 47}{space 1}    3.19{col 56}{space 3}0.002{col 64}{space 4} .0039018{col 77}{space 3} .0171405
{txt}{space 14}resource {c |}{col 24}{res}{space 2} .0023591{col 36}{space 2} .0040366{col 47}{space 1}    0.58{col 56}{space 3}0.561{col 64}{space 4}-.0057409{col 77}{space 3} .0104592
{txt}{space 16}colony {c |}{col 24}{res}{space 2} .0041477{col 36}{space 2} .0071557{col 47}{space 1}    0.58{col 56}{space 3}0.565{col 64}{space 4}-.0102114{col 77}{space 3} .0185067
{txt}{space 16}suit_m {c |}{col 24}{res}{space 2}-.0005613{col 36}{space 2} .0059988{col 47}{space 1}   -0.09{col 56}{space 3}0.926{col 64}{space 4}-.0125988{col 77}{space 3} .0114763
{txt}{space 5}distancetobeijing {c |}{col 24}{res}{space 2}  .000053{col 36}{space 2} .0000304{col 47}{space 1}    1.75{col 56}{space 3}0.087{col 64}{space 4}-7.91e-06{col 77}{space 3}  .000114
{txt}{space 11}riverlength {c |}{col 24}{res}{space 2}-.0000688{col 36}{space 2} .0000509{col 47}{space 1}   -1.35{col 56}{space 3}0.182{col 64}{space 4}-.0001709{col 77}{space 3} .0000332
{txt}{space 5}log_accountlength {c |}{col 24}{res}{space 2}-.0169659{col 36}{space 2} .0063594{col 47}{space 1}   -2.67{col 56}{space 3}0.010{col 64}{space 4}-.0297269{col 77}{space 3}-.0042049
{txt}{space 13}_Iprov_15 {c |}{col 24}{res}{space 2}-.0082414{col 36}{space 2} .0125159{col 47}{space 1}   -0.66{col 56}{space 3}0.513{col 64}{space 4}-.0333563{col 77}{space 3} .0168735
{txt}{space 13}_Iprov_21 {c |}{col 24}{res}{space 2} .0335323{col 36}{space 2} .0219384{col 47}{space 1}    1.53{col 56}{space 3}0.132{col 64}{space 4}-.0104903{col 77}{space 3}  .077555
{txt}{space 13}_Iprov_22 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_23 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_31 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_32 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_33 {c |}{col 24}{res}{space 2} .0690923{col 36}{space 2} .0313056{col 47}{space 1}    2.21{col 56}{space 3}0.032{col 64}{space 4} .0062731{col 77}{space 3} .1319116
{txt}{space 13}_Iprov_34 {c |}{col 24}{res}{space 2} .0545725{col 36}{space 2} .0202672{col 47}{space 1}    2.69{col 56}{space 3}0.010{col 64}{space 4} .0139034{col 77}{space 3} .0952417
{txt}{space 13}_Iprov_35 {c |}{col 24}{res}{space 2} .0439984{col 36}{space 2} .0342368{col 47}{space 1}    1.29{col 56}{space 3}0.204{col 64}{space 4}-.0247028{col 77}{space 3} .1126996
{txt}{space 13}_Iprov_36 {c |}{col 24}{res}{space 2} .0404141{col 36}{space 2} .0288375{col 47}{space 1}    1.40{col 56}{space 3}0.167{col 64}{space 4}-.0174526{col 77}{space 3} .0982808
{txt}{space 13}_Iprov_37 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_41 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_42 {c |}{col 24}{res}{space 2} .0037572{col 36}{space 2} .0185638{col 47}{space 1}    0.20{col 56}{space 3}0.840{col 64}{space 4}-.0334938{col 77}{space 3} .0410081
{txt}{space 13}_Iprov_43 {c |}{col 24}{res}{space 2} .0182992{col 36}{space 2} .0187806{col 47}{space 1}    0.97{col 56}{space 3}0.334{col 64}{space 4}-.0193869{col 77}{space 3} .0559852
{txt}{space 13}_Iprov_44 {c |}{col 24}{res}{space 2} .0488581{col 36}{space 2} .0295609{col 47}{space 1}    1.65{col 56}{space 3}0.104{col 64}{space 4}-.0104603{col 77}{space 3} .1081764
{txt}{space 13}_Iprov_45 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_50 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_51 {c |}{col 24}{res}{space 2}-.0508062{col 36}{space 2} .0355991{col 47}{space 1}   -1.43{col 56}{space 3}0.160{col 64}{space 4}-.1222411{col 77}{space 3} .0206286
{txt}{space 13}_Iprov_52 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_53 {c |}{col 24}{res}{space 2} -.048258{col 36}{space 2} .0364763{col 47}{space 1}   -1.32{col 56}{space 3}0.192{col 64}{space 4} -.121453{col 77}{space 3} .0249371
{txt}{space 13}_Iprov_61 {c |}{col 24}{res}{space 2}-.0272308{col 36}{space 2} .0204622{col 47}{space 1}   -1.33{col 56}{space 3}0.189{col 64}{space 4}-.0682912{col 77}{space 3} .0138296
{txt}{space 13}_Iprov_62 {c |}{col 24}{res}{space 2}-.0736883{col 36}{space 2} .0435137{col 47}{space 1}   -1.69{col 56}{space 3}0.096{col 64}{space 4} -.161005{col 77}{space 3} .0136284
{txt}{space 13}_Iprov_64 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 13}_Iprov_65 {c |}{col 24}{res}{space 2}        0{col 36}{txt}  (omitted)
{space 17}_cons {c |}{col 24}{res}{space 2} .9745169{col 36}{space 2} .3912715{col 47}{space 1}    2.49{col 56}{space 3}0.016{col 64}{space 4} .1893732{col 77}{space 3} 1.759661
{txt}{hline 23}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. estimates store table4_2_4
{txt}
{com}. 
. esttab table4_2_1 table4_2_2 table4_2_3 table4_2_4 using table4_2.csv, ///
> collabels(none)  cells(b(star fmt(3)) se(par)) staraux star(* 0.10 ** 0.05 *** 0.01)  replace ///
> stats(N r2, fmt(0 3)  labels(`"N"' `"R2"')) drop(_Iprov*)  title(Table 4.2 OLS Estimates of the Effects of Cultural Revolution Violence on Political Attitudes and Behavior Using County-Level Data) 
{res}{txt}(note: file table4_2.csv not found)
(output written to {browse  `"table4_2.csv"'})

{com}. 
{txt}end of do-file

{com}. do "/var/folders/h7/yy_9_pys1zvgh1bl431b90_m0000gn/T//SD21778.000000"
{txt}
{com}. 
. ****************
. *Table 4.3*
. ****************
. 
. preserve
{txt}
{com}. 
. *sort city_id
. *by city_id: gen respondent_id=_n
. 
. xtset city_id respondent_id
{err}variable {bf}respondent_id{sf} not found
{txt}{search r(111), local:r(111);}

end of do-file

{search r(111), local:r(111);}

{com}. do "/var/folders/h7/yy_9_pys1zvgh1bl431b90_m0000gn/T//SD21778.000000"
{txt}
{com}. log close Wang2019BJPS
      {txt}name:  {res}Wang2019BJPS
       {txt}log:  {res}/Users/ywang/Documents/My Documents/Research/working papers/cultural revolution and trust/journal submission/bjps/4/replication/Wang 2019 BJPS results.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}30 Apr 2019, 08:49:54
{txt}{.-}
{smcl}
{txt}{sf}{ul off}